On the Precision of Time-of-Flight Shear Wave Speed Estimation in Homogeneous Soft Solids: Initial Results Using a Matrix Array Transducer

Size: px
Start display at page:

Download "On the Precision of Time-of-Flight Shear Wave Speed Estimation in Homogeneous Soft Solids: Initial Results Using a Matrix Array Transducer"

Transcription

1 758 IEEE Tasacios o Ulasoics, Feoelecics, ad Fequecy Cool, vol. 60, o. 4, Apil 03 O he Pecisio of Time-of-Fligh Shea Wave Speed Esimaio i Homogeeous Sof Solids: Iiial Resuls Usig a Maix Aay Tasduce Michael Wag, Sude Membe, IEEE, Be Byam, Membe, IEEE, Mak Palmei, Membe, IEEE, Ned Rouze, Membe, IEEE, ad Kahy Nighigale, Membe, IEEE Absac A sysem capable of ackig adiaio-foceiduced shea wave popagaio i a 3-D volume usig ulasoud is peseed. I coas o exisig sysems, which use -D aay asduces, a -D maix aay is used fo ackig shea wave displacemes. A sepaae sigle-eleme asduce is used fo adiaio foce exciaio. This sysem allows shea wave popagaio i all diecios away fom he push o be obseved. I is show ha fo a limi of 64 ackig beams, by placig he beams a he edges of he measueme egio of iees (ROI) a muliple diecios fom he push, imeof-fligh (TOF) shea wave speed (SWS) measueme uceaiy ca heoeically be educed by 40% compaed wih equally spacig he ackig beams wihi he ROI alog a sigle plae, as is ypical whe usig a -D aay fo ackig. This was veified by simulaio, ad a educio of 30% was expeimeally obseved o a homogeeous phaom. Aalyical expessios ae peseed fo he elaioship bewee TOF SWS measueme uceaiy ad vaious shea wave imagig paamees. I is show ha TOF SWS uceaiy is ivesely popoioal o ROI size, ad ivesely popoioal o he squae oo of he umbe of ackig locaios fo a give disibuio of beam locaios elaive o he push. TOF SWS uceaiy is show o icease wih he squae of he SWS, idicaig ha TOF SWS measuemes ae iisically less pecise fo siffe maeials. Mauscip eceived Novembe 30, 0; acceped Decembe, 0. This wok was suppoed by Naioal Isiues of Healh gas R0 EB-003 ad R0 CA484. The auhos ae wih he Depame of Biomedical Egieeig, Duke Uivesiy, Duham, NC ( mhw@duke.edu). DOI hp://dx.doi.og/0.09/tuffc I. Ioducio Shea wave imagig is a quaiaive mehod of measuig issue siffess oivasively ad i vivo. Shea waves ca be geeaed i issue by muscle aciviy [] [4], exeal mechaical exciaio [5] [7], o by usig acousic adiaio foce [8] []. The shea wave speed (SWS) i issue is diecly elaed o is siffess. By moioig shea wave popagaio usig a eal-ime imagig modaliy such as mageic esoace imagig (MRI) [5], [6], [] o ulasoud [7] [], he udelyig issue siffess ca be esimaed. A commoly used echique fo SWS esimaio fom ulasoically acked issue displaceme is he so-called ime-of-fligh (TOF) mehod [7], [3], [4]. The shea wave aival ime is measued a seveal locaios wihi a spaial egio of iees (ROI), o keel. Ude assumpios of homogeeiy, egligible dispesio, ad a fixed diecio of popagaio wihi he ROI, a liea model ca be fi o he aival imes. The liea elaioship bewee spaial locaio ad aival imes ca he be used o calculae he SWS. This pape peses a ulasoic sysem capable of moioig acousic-adiaio-foce-iduced shea wave displaceme wihi a volume of issue. I coas o pevious sysems which use mechaically swep -D aay asduces o acquie volumeic daa [5], a -D maix aay asduce capable of elecoic beamfomig i boh he laeal ad elevaio dimesios is used fo ackig shea wave displaceme. This eables shea wave aival imes o be measued i muliple diecios fom he adiaio foce exciaio axis wihou he eed fo maual eposiioig of he pobe. The abiliy o moio shea wave popagaio i muliple diecios has seveal advaages. Fis, i allows aisoopic mechaical popeies o be chaaceized [6]. Secod, i iceases he amou of daa ha ca be acquied ad used fo SWS esimaio. Fially, i eables addiioal flexibiliy i he placeme of ackig beam locaios. I his pape, he poeial fo impovig SWS measueme pecisio i a homogeeous maeial by uilizig addiioal ackig beam locaios available fom a -D maix aay is ivesigaed. The fis poio of his pape deives heoeical expessios fo he uceaiy i TOF SWS esimaio. I is he show ha give a fixed umbe of ackig locaios, ad ROI size, he pecisio of TOF SWS esimaio i a homogeeous maeial ca be impoved by iceasig he spead of he ackig beam locaios elaive o he push by usig a -D aay. These heoeical esuls ae he veified by simulaios ad expeimeal daa acquied o phaoms usig he -D maix aay asduce. II. Uceaiy i TOF SWS Esimaio Measueme uceaiy ca be classified io wo goups: adom ad sysemaic [7]. I TOF SWS esimaio usig acousic-adiaio-foce-iduced shea waves, he measued SWS is depede o facos such as he fequecy coe of he shea wave [0], [8] ad he loca /$ IEEE

2 wag e al.: pecisio of ime-of-fligh shea wave speed esimaio i homogeeous sof solids 759 io of he ecosucio egio elaive o he exciaio geomey [9]. These facos ca esul i a sysemaic bias of he measued SWS. TOF SWS measueme is also subjec o adom eos such as jie i ulasoic displaceme ackig [0]. This ype of eo has zeo mea ad gives ise o a age of SWS i epea measuemes. I geeal, sysemaic eos ae difficul o aalyze because he udelyig ue value of he SWS is usually ukow. I coas, adom eo ca be assessed by examiig he spead of epea measuemes. Alhough sysemaic bias amog diffee SWS measueme sysems poses a sigifica challege o he cliical accepace of his echology [], [], he aalysis of souces of bias i SWS esimaio is ouside he scope of his sudy. Isead, he focus of his pape is esiced o adom measueme eo i TOF SWS esimaio. The ems uceaiy ad pecisio houghou his pape efe o he spead, o eo ba size, of epea measuemes, ad do o iclude bias. Whe he spead of epea SWS measuemes is low, he measueme is descibed as havig high pecisio, o low uceaiy. The uceaiy i TOF SWS measueme esulig fom adom eo (ubiased wih zeo mea) is ow deived. Coside leas-squaes fiig of a lie o a se of shea wave aival imes = {,,, } measued a disaces = {,,, } ohogoal o he push axis (he assumed diecio of shea wave popagaio). Noe ha ca epese spaial locaios wihi he eie -D plae ohogoal o he push axis. Muliple pois wihi his plae ca have he same value of (he locus of hese pois is a cicle of adius wih is cee a he push). Le deoe he leas-squaes fi lie, β he coespodig slope, ad β 0 he iecep, such ha = β + β. () 0 The leas-squaes soluio is give by [3]: The covaiace Cov(, ) is a measue of he exe o which vaiaios i ca be pediced by a liea fucio i. Whe he covaiace is zeo, he miimum mea squae eo liea esimao fo i ems of is simply he mea value of (3d). Whe is pefecly coelaed wih, he covaiace is equal o he poduc of he sadad deviaio of he wo vaiables, Cov(, ) = [oe ha is calculaed he same way as i (3b)]. The leas squaes slope (a) i his case becomes he aio / (iuiively, he vaiace i is escaled o have he same vaiace as ). Deviaios i he aival imes abou he leas squaes lie ae give by ε =. (4) I is assumed ha hese deviaios ae due o adom eos i measuig he aival ime of he shea wave. Souces of measueme eo iclude ulasoic displaceme ackig jie esulig fom speckle decoelaio ad fiie ackig keel size [0], [4], as well as udesamplig due o he fiie pulse epeiio fequecy (PRF) used fo ackig. These ype of eos ae omally disibued, ad do o iclude goss oulies, which ca be emoved by a algoihm such as adom sample cosesus (RANSAC) [5]. Assumig ha he vaiace of aival ime measueme eo is ε such ha ε N(0, ε ), (5) he he leas squaes esimaed slope β will also be a omally disibued adom vaiable [3]: β N ( β, β ), (6) whee β is he ue TOF slope ad he sadad deviaio is give by whee β β Cov(,) = (a) = β, (b) 0 Cov(,)= ( i )( i ) (3a) i = i (3b) i = = ( ) = i = = i. i = i (3c) (3d) β ε =. (7) To esimae he TOF SWS (c ), oe calculaes he ivese slope of he above liea model elaig measued aival imes ad disace fom he push locaio: =. We ae ieesed i he saisical disibuio of, amely, he uceaiy i ĉ esulig fom uceaiy i he esimaed slope β. To fid his, we begi by wiig he pobabiliy desiy fucio (PDF) of β : fβ ( β ) = π β exp ( β β) β β. (8) (9)

3 760 IEEE Tasacios o Ulasoics, Feoelecics, ad Fequecy Cool, vol. 60, o. 4, Apil 03 Makig he chage of vaiable β β p =, β such ha (0) β ()= p p + β (a) β dβ ( p) = d β, p (b) ad usig he ule fo asfomaio of adom vaiables [6] dβ () p fp( p)= f ( β( p)), () dp β (9) ca be coveed io he sadad omal disibuio: p fp( p)= π exp. (3) Applyig he same chage of vaiable o (8) gives =. p β β + (4) Eq. (4) ca be expaded as a biomial seies: = p p β β + β β β β β 3 3 p +. (5) The em ( / β ) β i (5) epeses he aio bewee he sadad deviaio of he esimaed slope ad is ue value, ad is equivale o he ivese of he SNR of he aival ime daa. If we assume ha β β, o ha we have high SNR aival ime daa, (5) ca be lieaized by igoig highe ode ems: p β. β β Reaagig (6), oe fids ha (6) β p( ) = ( β ) (7a) β dpc ( ) β =. d β By he ule fo asfomaio of adom vaiables, (7b) Subsiuig (7) io (8) yields f ( c ) = ( β ) exp π. (9) β β β ( ) ( ) Fom (9), i ca be see ha he esimaed SWS ĉ has a omal disibuio of N β β,. β β (0) Because he ivese of he ue TOF slope β is equivale o he ue TOF SWS c, oe fids ha N( c,( β c ) ). () As expeced, he mea value of ĉ is he ue TOF SWS c. The sadad deviaio of he esimaed SWS is give by =. () β c Subsiuig (7) io (), oe fids ĉ ε = c. (3) This esul idicaes ha he uceaiy of TOF SWS esimaio is popoioal o he squae of he SWS. I is liealy popoioal o he aival ime measueme eo, ad ivesely popoioal o he sadad deviaio of he adial disaces sampled by he ackig beams. Fo a fixed disibuio of adii, he SWS eo is also ivesely popoioal o he squae oo of he umbe of ackig beams, as would be expeced fom aveagig muliple measuemes. Thus, give he same aival ime measueme eo ad he same ackig locaios, he uceaiy i TOF SWS measueme iceases wih he squae of he SWS. This is a fudameal limi fo he pefomace of he TOF SWS esimaio mehod. Eq. (3) is valid fo ay wave aival ime esimaio echique. As a example, wo commo appoaches iclude deecig he ime o peak (TTP) ad he ime o peak slope (TTPS) of he shea wave displaceme. I a dispesive medium, hese wo mehods may esul i diffee biases i he measued SWS (a sysemaic eo). Howeve, he disibuio of he SWS abou is mea value fom epea measuemes is sill give by (3). I he ex secio, he poeial fo impovig he pecisio of TOF SWS measuemes by iceasig hough he use of he -D maix aay fo ackig shea waves is exploed. III. Mehods f ( c ) = dpc ( ) d f (( p )). p (8) I ca be see fom (3) ha by iceasig, he sadad deviaio of TOF SWS measuemes ca be e-

4 wag e al.: pecisio of ime-of-fligh shea wave speed esimaio i homogeeous sof solids 76 duced. The em is a measue of he spead of he adial disaces sampled by he ackig beams,, abou is mea value. Iceasig ca be accomplished by iceasig he umbe of ackig beams a he edges of he ROI. Zhai e al. [7] peviously showed ha whe oly 4 ackig beams ae available fom a -D aay, posiioig he beams a he eds of he ROI leads o he lowes SWS esimaio uceaiy. As will be demosaed i he followig subsecios, by akig advaage of he addiioal flexibiliy i he placeme of he ackig beam locaios affoded by he -D maix aay, a lage umbe of ackig beams ca be posiioed a he edges of he ROI o icease. The ex subsecio will pese heoeical pedicios of impoveme i SWS esimaio pecisio fo vaious possible beam locaio cofiguaios usig he -D maix aay. This is followed by descipios of expeimeal ad simulaio sudies pefomed o veify hese esuls. A. Theoy Coside a ROI wih adial age bewee l ad h fom he axis of exciaio such ha l h, as show i Fig.. The size of he ROI, k, is give by k = h l. Geomeically, his coespods o a aulus wihi he plae ohogoal o he push axis ceeed a he push. Le he umbe of uique adial posiios sampled by he ackig beams be. Noe ha moe ha oe beam ca have he same adial posiio. Le he oal umbe of ackig beams be disibued such ha hee ae a equal umbe of beams, θ, a each adius. Tha is, ad ha he TOF SWS uceaiy is ivesely popoioal o he ROI size k. Le us ow coside a ypical ackig beam cofiguaio available fom a coveioal -D aay asduce fo moioig adiaio-foce-iduced shea wave popagaio. The SWS pecisio fom ackig usig a -D maix aay will be compaed wih his efeece cofiguaio houghou his pape. Le he push be locaed a he cee of he imagig field of view (FOV), ad shea wave popagaio acked boh o he lef ad igh of he push. If half he oal umbe of ackig beams ae allocaed o each side of he push (i.e., θ =, = /), ad hey ae equally spaced wihi he aula ROI, he = Φ (, ), (8),D k/ whee he subscip D deoes a -D aay beam cofiguaio. Usig a -D maix aay capable of beamfomig i boh elevaioal ad laeal dimesios, he shea wave aival ime ca be moioed i a abiay umbe of diecios fom he push. This addiioal flexibiliy eables he umbe of aival ime measuemes ake a each adius, θ, o be geae ha wo. To keep he oal umbe of ackig beams cosa, he umbe of uique adii sampled ca be se o = / θ. If hese ae agai evely spaced wihi he adial exe of he ROI, he = Φ ( k, ), (9),D / θ = θ,. (4) I such a cofiguaio, he vaiace i ackig beam adii,, ca be foud usig oly he uique adial posiios sampled (because each oe is weighed equally by he same umbe θ ). If he adii ae evely spaced wihi he exe of he ROI, he he locaio of he ih uique adius, i, is give by i i = k, i. + l (5) Subsiuig (5) io (3b) ad simplifyig, oe fids ha he vaiace of he ackig beam adii of such a cofiguaio is give by he fucio k k = Φ (, ) = ( + ) ( ). Subsiuig (6) io (3), i ca be see ha ĉ ε ( + ) ( ) = c, k (6) (7) Fig.. Geomey of he keel ove which shea wave aival imes ae measued fo ime-of-fligh shea wave speed esimaio i he cooal (laeal-elevaio) plae. The keel (shaded gay) exeds bewee l ad h wih a age k, ad is ceeed o he push locaio (black squae). The push axis is assumed o coicide wih he axial dimesio, which is ohogoal o he page i his view. Example ackig beam locaios measuig shea wave aival imes ae show (black cicles), ad he adial posiio of oe beam, i, is maked. Fo his example cofiguaio, fou uique adial posiios ae sampled by he ackig beams ( = 4) ad hee ae hee beams a each adius ( θ = 3).

5 76 IEEE Tasacios o Ulasoics, Feoelecics, ad Fequecy Cool, vol. 60, o. 4, Apil 03 whee he subscip D deoes a -D aay beam cofiguaio. Le R be he aio of he TOF SWS uceaiy obaied usig he beam cofiguaios fo a -D maix aay as descibed peviously vesus he efeece cofiguaio fo a -D aay asduce:,d R =.,D (30) I is clea fom (3) ha if he umbe of beams, aival ime measueme uceaiy ε, ad udelyig SWS c ae equal fo boh he -D ad -D aay cofiguaios, he R is give by he aio of he spead i beam locaios:,d R =,D (3a) = Φ(, k/ ) Φ(, k/ ). θ (3b) Fially, subsiuig (6) io (3) ad assumig equal ROI age k, oe fids R = ( + )( θ ) ( )( + ). θ (3) Whe θ =, he beam cofiguaio coespodig o a -D aay asduce is obaied, ad R =. As θ iceases, R deceases, ad a educio i TOF SWS uceaiy is obaied. The maximum decease i R occus whe ( θ, ) = (/, ), coespodig o he case whe aival imes ae oly measued a he edges of he ROI, wih half he ackig beams allocaed o each edge. Iuiively, his makes sese, because he spead i he beam disaces o he push is maximized i his cofiguaio, leadig o a lage value of. B. Expeime ) Daa Acquisiio: To expeimeally demosae he educio i TOF SWS uceaiy possible hough muli-diecioal ackig i homogeeous maeials, he Siemes 4ZC maix aay asduce ad SC000 scae (Siemes Healhcae, Ulasoud Busiess Ui, Mouai View, CA) wee used o moio acousic-adiaio-foce-iduced shea waves i phaoms. The 4ZC aay coais (laeal elevaio) 0.4-mm squae elemes. A aula focused high-iesiy focused ulasoud (HIFU) piso asduce (H-0, Soic Coceps, Bohell, WA) was used fo acousic adiaio foce impulse (ARFI) exciaio (. MHz, F/, 63. mm focal deph). The 4ZC was iseed io he ceal opeig of he HIFU piso ad he wo asduces wee igidly coupled usig a specially desiged holde, as show i Fig. (a). The wo asduces wee sychoized usig a cusom iggeig cicui, as show i he sysem block diagam i Fig. (b). Shea waves wee iduced i homogeeous phaoms of vayig Youg s modulus bewee 4.8 ad 7 kpa (CIRS, Nofolk, VA). Fo a liea, isoopic, elasic medium, he elaioship bewee Youg s modulus (E) ad shea wave speed is E c =, ( + νρ ) (33) Fig.. (a) The 4ZC imagig asduce iseed io he ceal opeig of he high-iesiy focused ulasoud (HIFU) piso ad igidly fixed wih he holde. (b) Sysem block diagam of he expeimeal seup used fo ackig adiaio-foce-iduced shea wave popagaio i 3-D. The shea wave is geeaed wih he HIFU piso, ad acked usig he 4ZC maix aay. The wo asduces ae sychoized by he lie syc sigal fom he SC000, which povides pecise imig of asmi eves o he 4ZC. Whe he appopiae umbe of asmis have occued, he iggeig cicui causes he sigal geeao o emi a.-mhz bus of seleced ampliude ad duaio (00 o 400 cycles). This sigal is amplified by 55 db by a RF powe amplifie (E&I A50, Elecoics & Iovaio, Rochese, NY), ad goes hough a impedace machig ewok, befoe fially divig he HIFU piso o geeae he acousic adiaio foce push.

6 wag e al.: pecisio of ime-of-fligh shea wave speed esimaio i homogeeous sof solids 763 whee ν is he Poisso s aio (assumed o be 0.5) ad ρ is he desiy of he maeial (assumed o be 000 kg/ m 3 ). Muliple ieogaios i diffee locaios of he phaoms wee pefomed o obai diffee B-mode speckle ad diffee ealizaios of aival ime measueme oise. A exciaio pulse wih a deaed iesiy of I SPPA.3 = 375 W/cm (i siu I SPPA.7 = 674 W/cm ) was used, ad he same exciaio pulse legh was used fo epeaed ieogaios i he same phaom. This pulse legh was vaied bewee 00 ad 400 cycles fo he diffee phaoms o esue adequae displaceme (> μm) was obaied i all cases. The esulig shea waves wee imaged usig he 4ZC a a cee fequecy of.8 MHz. Because of cue limiaios of he SC000 beamfomig hadwae, abiay placeme of beam locaios was o possible. To ovecome his deficiecy, a fiely spaced ecagula gid of 7 7 (laeal elevaio) beams was used fo moioig he shea wave o povide a lage umbe of possible ackig beam locaios. Desied beam cofiguaios wee he esed by usig he daa fom a subse of he beams fom his gid. A a imagig deph of 60 mm, which is ea he push focal deph whe he wo asduces ae coupled, he aveage beam spacig is 0.54 mm i boh laeal ad elevaio dimesios, ad he FOV is mm. The adiaio foce exciaio was locaed appoximaely a he cee of he FOV, so ha he esula shea wave popagaio ca be visualized i all diecios. 64: paallel eceive was used o beamfom a gid of 8 8 beams o evey asmi so ha oly 8 asmis wee equied o ieogae he eie gid of 7 7 beams. Shea wave displaceme was moioed by epeaig he push, ad sequeially moioig each of he 8 paallel eceive beam goups i u, uil daa fom he eie FOV was acquied. The ime ieval bewee pushes was s, ad was limied by he daa asfe ae o he SC000. Usig his mehod, a high ackig PRF of 7.7 khz is obaied. Alhough his appoach equies a elaively log acquisiio ime, ad 8 pushes o acquie daa fom he eie FOV, hese dawbacks ae o ciical issues whe imagig phaoms. The beefi is ha shea wave displaceme daa wih high samplig aes boh spaially ad empoally is obaied. ) Daa Pocessig: Axial displaceme alog each beamlie was measued usig he zeo-phase displaceme esimaio algoihm descibed by Pesaveo e al. [8] o IQ daa. Acousic-adiaio-foce-iduced displacemes i he laeal ad elevaioal diecios ae o he ode of a magiude smalle ha he axial compoe [9], ad cao be moioed by ulasoic speckle ackig mehods. Theefoe, oly -D displaceme ackig was pefomed. Shea wave aival imes wee measued by fidig he TTPS of he displaceme ime pofile a each locaio. Aival imes wee aalyzed a a imagig deph of 60 mm ea he exciaio focus. The umbe of ackig beams () used fo SWS ecosucio was limied o 64. This is he umbe of paallel eceive chaels available fom he SC000, ad epeses he maximum umbe of locaios a which he shea wave fom a sigle ARFI exciaio ca be moioed wih his scae. Five diffee cofiguaios fo he 64 ackig beams wee esed: ( θ, ) = {(, 3), (4, 6), (8, 8), (6, 4), (3, )}, wih adii equally spaced bewee 4 ad 7 mm fom he push, coespodig o a ROI size of 3 mm. Wih a moe exesively pogammable sysem, o wih a sofwae beamfomig sysem iefaced wih he maix pobe, all he daa fom hese beam cofiguaios could be acquied wih a sigle asmi ad ARFI exciaio. Howeve, as peviously meioed, because of he cue limiaios of he SC000, hese beam cofiguaios wee implemeed by choosig a subse of beams fom a ecagula gid of 7 7 beam locaios. Fo each cofiguaio, beam locaios fom he 7 7 gid closes o he desied se of adii, assumig he push was locaed a he cee of he FOV, wee seleced fo SWS esimaio. Daa a emaiig beam locaios wee o used. Thus, daa fo all five diffee beam cofiguaios wee syhesized fom each full 7 7 gid daa se. The beam locaios seleced fo all cofiguaios ae illusaed i Fig. 3. Noe ha o obai he equied se of disaces bewee he beams ad he push axis fom he limied gid locaios, he beam paes ae o aaged i saigh lies adiaig ou fom he cee of he FOV as oe would expec. Because he locaio of he ARFI push fom he HIFU piso elaive o he 4ZC is o kow pecisely, SWS esimaio usig expeimeal daa was pefomed by leas-squaes fiig a coical suface o he aival imes, as show i Fig. 4(b). The axis of he coe coespods o he axis of he ARFI exciaio elaive o he 4ZC. Whe he HIFU piso ad he 4ZC ae pefecly aliged, he coe axis coicides wih he aival ime axis [he z-axis i Fig. 4(b)] ad goes hough he oigi. The emaiig wo degees of feedom, he coe opeig agle, ad he locaio of is apex alog is axis, diecly coespod o he slope ad iecep paamees of he liea model elaig aival imes o disace fom he push [see ()]. Fo each daa se, he aival imes as a fucio of locaio fom all he beams i he 7 7 gid a 60 mm deph wee fi o a coe o esimae he acual oieaio ad posiio of he push axis. To compesae fo misaligme bewee he HIFU pobe ad he 4ZC, coes wih his same axis wee fi o he aival ime daa fom he seleced beam locaios fo each cofiguaio. I ohe wods, oly he opeig agle ad he apex locaio of he coe wee allowed o vay. Leas-squaes opimizaio of hese wo paamees is equivale o fidig he slope ad iecep i lie-fiig. The SWS is esimaed usig he opeig agle of he leas-squaes coe fo each cofiguaio. C. Simulaio Simulaios wee pefomed i Malab (The Mah- Woks, Naick, MA) o veify he heoeical educio

7 764 IEEE Tasacios o Ulasoics, Feoelecics, ad Fequecy Cool, vol. 60, o. 4, Apil 03 Fig. 3. Beam locaios fom a 7 7 gid a 60 mm imagig deph used fo SWS esimaio: (a) ( θ, ) = (, 3), (b) ( θ, ) = (4, 6), (c) ( θ, ) = (8, 8), (d) ( θ, ) = (6, 4), ad (e) ( θ, ) = (3, ). The sadad deviaio of he beam disaces fom he push a he cee of he FOV,, is show fo each cofiguaio. Alhough he beams fo he ( θ, ) = (, 3) case do o lie o a saigh lie, hey have he same as a ypical cofiguaio whe usig a -D aay fo shea wave imagig. The ohe cases coespod o addiioal cofiguaios possible usig a -D aay. Fig. 4. (a) Shea wave aival imes measued fom he 4.8 kpa homogeeous phaom i he plae ohogoal o he push axis a a imagig deph of 60 mm, which is ea he exciaio focal deph. The push is appoximaely a he cee of he FOV. Aival ime measuemes close o he push ea he cee of he FOV wee o possible, as a esul of evebeaio echoes of he adiaio foce exciaio. (b) Leassquaes coe fi o he aival imes show i (a). The acual push axis locaio ad oieaio, as well as he SWS ca be esimaed fom he paamees of he coe. (c) Suface plos of aival imes a he same imagig deph (60 mm) measued fom hee homogeeous phaoms of diffee siffess. The esimaed SWS fom coe fis o he daa show ae displayed. i TOF SWS uceaiy show i (3). Shea wave aival imes wee geeaed fo he five beam cofiguaios expeimeally esed [( θ, ) = {(, 3), (4, 6), (8, 8), (6, 4), (3, )}] wihi he same adial domai (4 o 7 mm fom he push). The beam locaios used wee exac, ad o quaized by he 7 7 gid as fo he expeime. The aival imes wee geeaed as follows. Fis, he ideal aival ime a each beam locaio was calculaed usig is disace fom he push ad a SWS of.6 ms, which is he same SWS as he 4.8-kPa phaom. The, omally disibued oise wih zeo mea ad a sadad deviaio of ε = 0.6 ms, simila o expeimeally obseved oise levels [5], was added o he ideal aival imes o simulae measueme oise. SWS esimaio was pefomed by calculaig he ivese slope of he leas-squaes fi lie o hese oisy aival imes, as peviously descibed. This was epeaed fo ealizaios of oisy aival ime daa ses fo all five beam cofiguaios. The sadad deviaio (pecisio) of he SWS ove he ealizaios fo he five diffee beam cofiguaios was fially compaed. IV. Resuls Thee-dimesioal displaceme fields measued usig he 4ZC afe ARFI exciaio i he 4.8-kPa phaom wih he HIFU piso ae show i Fig. 5. Alhough a

8 wag e al.: pecisio of ime-of-fligh shea wave speed esimaio i homogeeous sof solids 765 Fig. 5. A 3-D displaceme field measued by he 4ZC afe ARFI exciaio usig he HIFU piso i a 4.8 kpa phaom: (a) = 0.8 ms, (b) = 3.4 ms, ad (c) = 6.0 ms. The displacemes measued alog he beamlie diecio usig -D speckle ackig ae show as a volume edeig a hee diffee ime seps afe he exciaio. Dake pixels coespod o lage displaceme ampliude. The push axis is paallel o he axial diecio ad is ceeed a he oigi i he laeal ad elevaio dimesios. Ohogoal secios of he displaceme field a plaes idicaed by he dashed lies ae also pojeced oo he back walls of he plo. Oe of hese plaes is a cooal view (ohogoal o he push axis) a a axial deph of 60 mm, which is close o he exciaio focus. Thoughou his pape, shea wave daa fom his plae ae aalyzed (i.e., he plae show i Fig. 3). HIFU piso was used fo adiaio foce exciaio, because of he sho duaio of he ARFI pulse (8 o 364 μs), displaceme magiudes o he ode of micos ae obaied axially alog he beamlie diecio. As peviously meioed, displaceme i he laeal ad elevaio diecios ae egligible i compaiso [9], ad wee o measued. I is evide fom Fig. 5 ha as ime afe he exciaio iceases, locaios iceasigly fuhe away fom he push ae peubed by he shea wave. Alhough shea wave daa ae aalyzed i oly oe plae ea he exciaio focus i his pape, ARFI-iduced shea wave displaceme houghou a 3-D volume ca be moioed usig he maix aay. The shea wave aival imes i he FOV a 60 mm fo oe acquisiio o he 4.8-kPa phaom ae show i Fig. 4(a). Because of evebeaio echoes of he adiaio foce exciaio, displaceme esimaes ealy i ime afe he push wee o available. Theefoe, aival ime measuemes close o he push ea he cee of he FOV wee o possible. As expeced, he shea wave akes loge o each locaios fuhe fom he push. The aival ime appeas o be isoopic, as would be expeced fo a homogeeous isoopic maeial. Because of he slow SWS i his phaom, he shea wave did o each he coes of he FOV wihi he ackig duaio. Fig. 4(b) illusaes he coe-fi o he aival imes fo he example i Fig. 4(a). The SWS ca be esimaed fom he opeig agle of he coe. A fase SWS coespods o lowe aival imes, ad cosequely, a bigge opeig agle. Fig. 4(c) shows suface plos of aival imes fom acquisiios o hee homogeeous phaoms of diffee siffess (E = 4.8,, 30 kpa), ad esimaed SWS fom each usig coe fis o he daa. The accuacy of he aligme bewee he HIFU pobe ad he 4ZC was assessed fom he axis of he coes fi o aival imes fom 00 acquisiios colleced o he 4.8-kPa phaom ove muliple days, duig which he HIFU pobe was epeaedly disassembled ad e-aached o he 4ZC. The axis of he HIFU piso ad he 4ZC had a aveage diffeece of 0.5 ± 0.3 i oieaio ad 0.5 ± 0. mm i posiio a a imagig deph of 60 mm. Thus, he adii of he ackig beams i Fig. 3, which wee compued assumig a pefecly aliged push axis ad he 4ZC, should o be sigificaly diffee fom hei ieded values. The educio i SWS uceaiy pediced by (3) fo 64 ackig beams wihi he same size ROI wih diffee disibuios is ploed i Fig. 6. The sadad deviaio of he esimaed SWS fom 0000 ses of simulaed aival imes was calculaed fo he five beam cofiguaios ( θ, ) = {(, 3), (4, 6), (8, 8), (6, 4), (3, )}. These values wee omalized by he sadad deviaio fo he efeece -D aay case [( θ, ) = (, 3)], ad ae show o he same plo. Similaly, he SWS sadad deviaio fom 00 acquisiios o he 4.8-kPa phaom was calculaed fo he five beam cofiguaios, ad he expeimeally achieved educio i SWS sadad deviaio is also show o he same figue. Noe ha he values ploed i Fig. 6 fo he expeimeally implemeed cofiguaios ae fom he acual beam locaios used. These diffe fom he values of he pescibed beam cofiguaios (show by he x-axis locaio of he simulaed daa pois) due o quaizaio eo fom he limied beam locaios available fom he 7 7 gid. Howeve, he diffeeces i wee small (o aveage 0.03 mm fo he five cofiguaios), as ca be see fom he x-axis locaios of he expeimeal ad simulaed daa pois. To calibae he eade, he expeimeal SWS sadad deviaio fo he baselie ( θ, ) = (, 3) case was 0.06 m/s. Because of pacical esicios, he umbe of expeimeal daa ses used o assess TOF SWS pecisio was limied o 00. To illusae he uceaiy i esimaig he sadad

9 766 IEEE Tasacios o Ulasoics, Feoelecics, ad Fequecy Cool, vol. 60, o. 4, Apil 03 deviaio fom 00 samples, he SWS sadad deviaio fom a subse of 00 samples adomly seleced fom he 0000 simulaed daa ses fo each beam cofiguaio was compaed wih he sadad deviaio fo he eie 0000 samples. This was epeaed fo 000 adomly seleced subses. The mea diffeece i sadad deviaio evaluaed ove 00 ad samples ae ploed as eo bas i Fig. 6. I addiio o he 00 acquisiios o he 4.8-kPa phaom, a addiioal 0 daa ses wee acquied o each of five ohe phaoms wih vayig siffess up o 7 kpa. The SWS sadad deviaio was calculaed fo each usig he ( θ, ) = (, 3) cofiguaio. These wee he omalized by he sadad deviaio of he fied slope, β. This effecively omalizes diffeeces i he aival ime measueme eo fo he diffee phaoms. A plo of he omalized SWS sadad deviaio is show i Fig. 7 vesus he mea SWS obaied fom all acquisiios o each phaom. The heoeically pediced cuve fo his elaioship fom () is show o he same figue. Fig. 7. TOF SWS sadad deviaio vesus he mea SWS i six homogeeous phaoms of diffee siffess (squaes), ad afe omalizig fo he aival ime esimaio eo by dividig by he sadad deviaio of he fied slope, (cicles). The elaioship bewee he omalized SWS sadad deviaio ad he SWS pediced usig () is β show by he dashed lie. The ( θ, ) = (, 3) beam cofiguaio was used fo SWS esimaio i all cases. The sample size was 00 fo he phaom wih a mea SWS of.3 m/s, ad 0 fo he ohes. V. Discussio Fig. 6. SWS sadad deviaio fo he five ackig beam cofiguaios esed as a aio of he sadad deviaio fo he efeece -D aay case [( θ, ) = (, 3)]. The pediced values fo his aio usig he values of he beams ad (3) ae show by he dashed cuve. The educio obaied fom simulaed oisy aival ime daa ses is maked by iagles, ad ha fom 00 expeimeally acquied daa ses fom a homogeeous phaom is maked by cicles. Noe ha he values fo he expeimeal daa ae slighly diffee fom he pescibed beam cofiguaios because of he limied beams available fom he 7 7 gid. The eo bas o he expeimeal daa show he expeced uceaiy i esimaig he sadad deviaio fom oly 00 samples. These wee deemied by compaig he sadad deviaio of 000 ses of 00 adomly seleced samples fom he daa ses simulaed fo each cofiguaio wih he sadad deviaio obaied ove all samples. Noe ha hee is o eo ba fo he efeece -D aay case [( θ, ) = (, 3)], because his is used fo omalizaio, ad by defiiio is equal o. As show i Fig. 6, hee is excelle ageeme bewee he educio i SWS uceaiy achieved o simulaed daa ad ha pediced by heoy. The expeimeal esuls, howeve, show deviaios abou he expeced values of R. Neveheless, he oveall ed of deceasig SWS sadad deviaio wih iceasig is maiaied. The lages educio occued fo he ( θ, ) = (3, ) beam cofiguaio, whee a 30% decease i SWS uceaiy compaed wih he baselie ( θ, ) = (, 3) case was achieved expeimeally, ad a 40% decease was pediced by heoy ad simulaio. The dispaiy bewee he expeimeal esuls ad heoy may be due i pa o he elaively small umbe of acquisiios (N = 00) used o assess he SWS sadad deviaio compaed wih he simulaios (N = 0 000). The uceaiy associaed wih esimaig he sadad deviaio fom 00 samples is show by he eo bas i Fig. 6. As he sample size iceases, a moe accuae esimae of he SWS sadad deviaio fo he vaious beam cofiguaios should be obaied. A limiaio of he heoeical deivaio fo he TOF SWS esimaio uceaiy peseed i Secio II is ha cosa aival ime measueme oise is assumed a all beam locaios. This is ulikely o be ue i pacice, ad is aohe faco which could cause he discepacy bewee he expeimeal ad heoeical esuls i SWS uceaiy educio obseved i his sudy. Thee ae wo easos why he aival ime measueme oise may be uequal a diffee beam locaios: ) vaiaio i

10 wag e al.: pecisio of ime-of-fligh shea wave speed esimaio i homogeeous sof solids 767 beam poi spead fucio (PSF) caused by beamfomig, ad ) aeuaio of he shea wave as i popagaes hough he medium. The ackig beam PSF diecly impacs he accuacy of ulasoically acked displacemes. Ideed, he mai souce of oise i ulasoic ackig of adiaio foce iduced displaceme is due o he disoio of he scaee disibuio wihi he ackig beam caused by spaial gadies i he displaceme field [30], [3]. Beams wih highe side lobe levels ae subjec o highe levels of ackig oise because of he geae coibuio of scaee moio fom he side lobes. Thus, whe he PSFs of he ackig beams vay, he accuacy of he measued aival imes fom hose beams will also be diffee. As descibed i Secio III-B, 64: paallel eceive beamfomig was used o acquie gids of 8 8 beams expeimeally i his sudy. A sigle asmi focused a he cee of he gid was used fo isoificaio. Daa a all 64 beam locaios was acquied by shifig he eceive focus away fom he asmi focus o evey locaio i he gid. This has he effec of iceasig he side lobe magiude of he ack beam PSF [3]. As he eceive focus is shifed fuhe away fom he asmi focus, he side lobe level iceases. Thus, he oue beams i he 8 8 gid have highe side lobe levels ha beams locaed ea he cee of he gid. Theefoe, i he expeimes pefomed fo his sudy, a beam cofiguaio i which moe beams ea he edges of he 8 8 paallel eceive beam goups ae seleced fo SWS esimaio will have lowe ha expeced SWS pecisio. To miigae ouifom ackig jie esulig fom paallel eceive beamfomig, a asmi beam wih a highe f-umbe, o a plae wave asmi could be used. The ohe faco which ca cause he accuacy of aival ime esimaes o vay wih locaio is shea wave aeuaio. As a shea wave popagaes hough issue, is ampliude ca be aeuaed by geomeic speadig o viscosiy [0], [8]. This causes he displaceme ampliude a locaios fuhe fom he push o be smalle, leadig o lage aival ime measueme eo a hese locaios. Because his faco was o ake io accou i he deivaio of (3), he expeimeal beam cofiguaios i his sudy which uilize moe beams fa fom he push will have lowe ha expeced SWS pecisio. Leas-squaes fiig wih uequal aival ime measueme accuacy a diffee locaios will sill give a ubiased esimae of he SWS. To exed he aalysis of TOF SWS esimaio uceaiy o accou fo uequal measueme accuacy, he followig fom fo he sadad deviaio of he slope paamee β ca be used [3]: β = i = i = i ( i ) a ( ) i, ε (34) whee a i is he scalig faco fo he oise vaiace a each beam locaio. I ca be show ha if he weighs ae uifomly equal o oe (i.e., a i =, i), he (34) educes o (7). Eq. () elaig he sadad deviaio of he SWS ad he sadad deviaio of he esimaed slope sill applies i his siuaio. Theefoe, he SWS uceaiy ca sill be educed by miimizig (34). I miimizig (34), boh he locaio ( i ) ad measueme oise ( a i ε ) of he beams mus be ake io accou o esue ha deceases i fom speadig he beam locaios is β o offse by beams wih highe measueme oise caused by beamfomig o shea wave aeuaio. The deemiaio of he weighs a i is a difficul poblem, because hey ae depede o may facos, icludig he souce of he shea wave, he beamfomig echique used fo ackig, ad he viscoelasic popeies of he udelyig medium. Oe appoach fo deemiig a i would be o simulae boh he espose of he issue o he adiaio exciaio foce field expeimeally used [33] ad ulasoic imagig of he iduced displacemes [30]. I pacice, he exac viscoelasic popeies of he medium o be imaged ae ulikely o be kow a pioi, so a age of maeial popeies likely o be ecoueed could be simulaed. As show i Fig. 7, he expeimeally measued TOF SWS uceaiy iceased wih mea SWS value i phaoms. Because he udelyig viscoelasic popeies of he phaoms wee diffee, shea waves of vayig badwidhs wee iduced wih impulsive adiaio foce exciaio, leadig o diffeeces i he aival ime measueme accuacy bewee he phaoms. Afe omalizig fo his effec, he SWS uceaiy iceased wih he squae of he SWS, as was pediced by (). The fac ha he uceaiy i TOF SWS measuemes iceases wih he squae of he SWS has implicaios fo he iepeaio of expeimeal esuls usig TOF SWS esimaio. Fis, a geae sample size is eeded fo SWS measuemes i siffe maeials o achieve he same powe i saisical aalysis as i sofe maeials. Secod, i sudies which ivolve he aalysis of vaiabiliy i SWS, fo example, i compaig siffess heeogeeiy i he live as a fucio of fibosis sage, he ihee icease i he vaiace of SWS measuemes i siffe media mus be ake io accou. The aalyical elaioships fo he uceaiy i TOF SWS measueme peseed i his pape ae applicable o issue as well as homogeeous phaoms. Howeve, he ackig beam cofiguaios peseed i his pape ae o ieded fo use i all siuaios. Thei pupose is meely o illusae ha by iceasig he spead i he beam locaios, a moe pecise measueme of he SWS ca be obaied. The specific ackig beam locaios o use i ay applicaio should be chose based o he goal of he expeime, as well as he maeial popeies of he udelyig medium. Addiioal cosideaios o be ake io accou whe selecig ackig beam locaios fo imagig issue iclude shea wave aeuaio caused by viscosiy, as was peviously meioed, poeial vaiaio i siffess wih locaio (heeogeeiy), ad poeial vaiaio i siffess wih diecio (aisoopy).

11 768 IEEE Tasacios o Ulasoics, Feoelecics, ad Fequecy Cool, vol. 60, o. 4, Apil 03 The mai dawback of he appoach used i his pape fo impovig SWS measueme pecisio is he assumpio of issue homogeeiy wihi he ROI. I was show i (7) ha TOF SWS pecisio ad ROI size have a ivese elaioship. Theefoe, hee is a ihee adeoff bewee SWS pecisio ad spaial esoluio. I applicaios i which he issue siffess is elaively homogeeous ad spaial esoluio is o ciical, fo example i assessig live siffess, measueme of he aveage SWS ove a lage ROI is useful. Howeve, i applicaios whee a image of siffess is desied, smalle ROIs mus be employed, which limis he spacig bewee ackig beam locaios ad esuls i lowe TOF SWS measueme pecisio. The ackig beam cofiguaios peseed i his pape also assume he udelyig medium o be isoopic, so ha SWS does o vay wih diecio. Theefoe, beams wee placed a abiay agles elaive o he push i he laeal-elevaio plae. Howeve, i issues which ae aisoopic, whee he SWS is diecioally depede, i is o possible o measue a sigle SWS ove he eie aula ROI. Isead, idepede SWS measuemes mus be made i diffee diecios fom he push. This addiioal esicio equies beams o be placed i a sufficiely wide vaiey of agles o obai he desied agula esoluio i SWS. Neveheless, he geeal piciple of maximizig he spead i he beam locaios ad he heoeical TOF SWS measueme uceaiy [Eq. (3)] ca sill be applied idepedely fo each diecio. Fo ed uses of quaiaive SWS imagig sysems, a useful feaue would be some idicaio of he expeced accuacy of hei measuemes. If hee was a mehod o asceai he aival ime esimaio eo ε, a esimae fo he SWS measueme uceaiy could be calculaed usig (3): s s ε =, (35) whee s c is he esimaed SWS uceaiy ad s ε is a esimae fo he aival ime eo. Fouaely, s ε ca be esimaed by he deviaios of he aival imes abou he leas squaes fi lie [3]: s ε = ε ε, (36) whee ε ε is he sum of he squae eos, ad is he umbe of aival imes used fo he fi. Eq. (35) gives a diec esimae of he uceaiy, o eo ba size, of he shea wave speed measueme i mees pe secod. I is easy o show ha whe Cov(, ) = (pefec coelaio bewee aival imes ad posiio), he uceaiy is 0 m/s, ad whe Cov(, ) = 0 (o coelaio), he uceaiy is ifiie. Thus, i addiio o obaiig a SWS esimae ĉ fom a sigle acquisiio, oe ca also esimae he uceaiy i ha esimae, s c, fom he qualiy of he fi ad (35). I addiio o he abiliy o opimally posiio ackig beam locaios o impove SWS measueme pecisio, aohe beefi of ackig shea wave popagaio i 3-D usig a -D maix aay is he icease i he amou of daa ha ca poeially be acquied. If he umbe of ackig beams is o held fixed, bu allowed o icease by eihe iceasig θ o, he a educio i SWS measueme sadad deviaio would be achieved [see (3)]. This would be feasible usig a maix aay sysem capable of sigle chael acquisiio ad sofwae beamfomig. Alhough he 3-D shea wave imagig sysem descibed i his pape is a useful eseach ool, i has o bee opimized fo daa acquisiio i i vivo expeimes. Alhough capable of acquiig high-qualiy daa wih high samplig aes boh spaially ad empoally, he log acquisiio ime ad lage umbe of pushes equied o sample he eie ecagula FOV is impacical fo cliical sudies. Fo pacical puposes, boh he umbe of ackig beams ad he PRF ca be educed o icease acquisiio speed ad decease he umbe of adiaio foce exciaios eeded. If cue limiaios of he beamfome hadwae ca be ovecome, he abiay beam locaios, such as oe of he cofiguaios esed i his pape, may be ealizable wih a sigle asmi ad 64 paallel eceive. Aleaively, if sigle-chael daa ca be acquied fom he -D aay, beamfomig ca be pefomed offlie i sofwae. Ideally, boh adiaio foce exciaio ad shea wave ackig is pefomed wih a sigle asduce. Howeve, because of he high cos of he 4ZC pobe, his has o ye bee aemped i ou lab. Neveheless, his is a possibiliy ha is ude ivesigaio. VI. Coclusio TOF SWS measueme uceaiy is ivesely popoioal o ROI size, ad ivesely popoioal o he squae oo of he umbe of ackig beam locaios. TOF SWS uceaiy iceases wih he squae of he SWS. This meas ha TOF SWS measuemes ae iisically less pecise fo siffe maeials. Fo a fixed umbe of ackig beams ad ROI size, he TOF SWS uceaiy ca be educed by iceasig he spead of he ackig beam locaios elaive o he push wihi he ROI. This was expeimeally demosaed usig a -D maix aay ulasoud asduce o moio adiaio-foce-iduced shea wave popagaio i a 3-D volume. By akig advaage of he addiioal beam locaios available fom he -D maix aay compaed wih a coveioal -D aay asduce, a icease i he spead of he beam locaios elaive o he push was able o be achieved. Usig a limi of 64 ackig beams, a educio i TOF SWS measueme uceaiy of 40% was show o be heoeically possible by placig he beams a he edges of he ROI a muliple diecios fom he push, isead of spacig he beams equally wihi he

12 wag e al.: pecisio of ime-of-fligh shea wave speed esimaio i homogeeous sof solids 769 ROI alog a sigle plae, as is ypically doe fo shea wave imagig usig a -D aay. This is cooboaed wih simulaed daa, ad a educio of 30% was achieved i pacice usig expeimeal daa acquied wih he -D maix aay o a homogeeous phaom. Alhough he SWS sadad deviaio obaied o a phaom usig he expeimeal seup i his sudy was small (<0.06 m/s), i pacical imagig siuaios whee a lowe ackig PRF, smalle umbe of ackig beams, ad smalle ROI size is used, ad iceased displaceme jie may be pese because of lowe B-mode SNR, he SWS uceaiy will be lage. Fo example, fo epeaed acquisiios i i vivo live usig 3 paallel beams uifomly spaced i a sigle plae, we obseved SWS sadad deviaios of up o 0. m/s [5]. The impoveme i SWS pecisio obaied by ackig shea waves wih he -D maix aay should be mos beeficial i hese siuaios ad whe imagig siff maeials. I a ideal shea wave imagig sysem, he SWS measueme would have boh high accuacy (low bias) ad high pecisio (low spead). This pape has poposed mehods fo chaaceizig SWS measueme pecisio ad a appoach fo iceasig he pecisio of SWS measuemes by iceasig he spead i ackig beam locaios. Howeve, he aalysis ad mehods peseed heei do o exed o sysemaic souces of eos, such as shea wave dispesio, which cause measueme bias. Depedig o he applicaio, sysemaic eos, which coibue o diffeeces i he SWS measued by diffee sysems, may pose a moe sigifica poblem ha measueme pecisio. Aalysis of poeial sysemaic souces of SWS measueme eo i shea wave imagig sysems mus be pefomed i fuue sudies o faciliae wide cliical use of his echology. Ackowledgmes The auhos would hak Siemes Healhcae, Ulasoud Busiess Ui, Mouai View, CA, fo hei sysem suppo. Refeeces [] H. Kaai, Popagaio of spoaeously acuaed pulsive vibaio i huma hea wall ad i vivo viscoelasiciy esimaio, IEEE Tas. Ulaso. Feoelec. Feq. Cool, vol. 5, o., pp , 005. [] M. Couade, M. Peo, C. Pada, E. Messas, J. Emmeich, P. Bueval, A. Cio, M. Fik, ad M. Tae, Quaiaive assessme of aeial wall biomechaical popeies usig shea wave imagig, Ulasoud Med. Biol., vol. 36, o. 0, pp , 00. [3] T. Gallo, S. Cahelie, P. Roux, J. Bum, N. Beech, ad C. Negeia, Passive elasogaphy: Shea-wave omogaphy fom physiological-oise coelaio i sof issues, IEEE Tas. Ulaso. Feoelec. Feq. Cool, vol. 58, o. 6, pp. 6, 0. [4] K. Saba, S. Coi, P. Roux, ad W. Kupema, Passive i vivo elasogaphy fom skeleal muscle oise, Appl. Phys. Le., vol. 90, o. 9, a. o. 940, 007. [5] M. Yi, J. A. Talwalka, K. J. Glase, A. Maduca, R. C. Gimm, P. J. Rossma, J. L. Fidle, ad R. L. Ehma, Assessme of hepaic fibosis wih mageic esoace elasogaphy, Cli. Gasoeeol. Hepaol., vol. 5, o. 0, pp. 07 3, 007. [6] L. Huwa, F. Peees, R. Sikus, L. Ae, N. Salameh, L. C. e Beek, Y. Hosmas, ad B. E. Va Bees, Live fibosis: Noivasive assessme wih MR elasogaphy, NMR Biomed., vol. 9, o., pp , 006. [7] L. Sadi, B. Fouque, J.-M. Hasqueoph, S. Yo, C. Fouie, F. Mal, C. Chisidis, M. Ziol, B. Poule, F. Kazemi, M. Beaugad, ad R. Palau, Tasie elasogaphy: A ew oivasive mehod fo assessme of hepaic fibosis, Ulasoud Med. Biol., vol. 9, o., pp , 003. [8] A. P. Savazya, O. V. Rudeko, S. D. Swaso, J. B. Fowlkes, ad S. Y. Emeliaov, Shea wave elasiciy imagig: A ew ulasoic echology of medical diagosics, Ulasoud Med. Biol., vol. 4, o. 9, pp , 998. [9] J. Becoff, M. Tae, ad M. Fik, Supesoic shea imagig: A ew echique fo sof issue elasiciy mappig, IEEE Tas. Ulaso. Feoelec. Feq. Cool, vol. 5, o. 4, pp , 004. [0] S. Che, M. Faemi, ad J. F. Geeleaf, Quaifyig elasiciy ad viscosiy fom measueme of shea wave speed dispesio, J. Acous. Soc. Am., vol. 5, o. 6, pp , 004. [] K. Nighigale, S. McAleavey, ad G. Tahey, Shea-wave geeaio usig acousic adiaio foce: I vivo ad ex vivo esuls, Ulasoud Med. Biol., vol. 9, o., pp , 003. [] R. Muhupillai, D. Lomas, P. Rossma, J. Geeleaf, A. Maduca, ad R. Ehma, Mageic esoace elasogaphy by diec visualizaio of popagaig acousic sai waves, Sciece, vol. 69, o. 53, pp , 995. [3] M. Tae, J. Becoff, A. Ahaasiou, T. Deffieux, J. L. Geisso, G. Moaldo, M. Mulle, A. Tadivo, ad M. Fik, Quaiaive assessme of beas lesio viscoelasiciy: Iiial cliical esuls usig supesoic shea imagig, Ulasoud Med. Biol., vol. 34, o. 9, pp , 008. [4] M. L. Palmei, M. H. Wag, J. J. Dahl, K. D. Fikley, ad K. R. Nighigale, Quaifyig hepaic shea modulus i vivo usig acousic adiaio foce, Ulasoud Med. Biol., vol. 34, o. 4, pp , 008. [5] J. Becoff, R. Sikus, M. Tae, ad M. Fik, 3D ulasoudbased dyamic ad asie elasogaphy: Fis i vio esuls, i IEEE Ulasoics Symp., 004, pp [6] W. Lee, M. Peo, M. Couade, E. Messas, P. Bueval, A. Bel, A. Hagege, M. Fik, ad M. Tae, Mappig myocadial fibe oieaio usig echocadiogaphy-based shea wave imagig, IEEE Tas. Med. Imagig, vol. 3, o. 3, pp , 0. [7] J. Taylo, A Ioducio o Eo Aalysis: The Sudy of Uceaiies i Physical Measuemes. Sausalio, CA: Uivesiy Sciece Books, 997. [8] T. Deffieux, G. Moaldo, M. Tae, ad M. Fik, Shea wave specoscopy fo i vivo quaificaio of huma sof issues viscoelasiciy, IEEE Tas. Med. Imagig, vol. 8, o. 3, pp. 33 3, 009. [9] H. Zhao, P. Sog, M. Uba, R. Kiick, M. Yi, J. Geeleaf, ad S. Che, Bias obseved i ime-of-fligh shea wave speed measuemes usig adiaio foce of a focused ulasoud beam, Ulasoud Med. Biol., vol. 37, o., pp , 0. [0] W. F. Walke ad G. E. Tahey, A fudameal limi o delay esimaio usig paially coelaed speckle sigals, IEEE Tas. Ulaso. Feoelec. Feq. Cool, vol. 4, o., pp , 995. [] M. Fiedich-Rus, K. Wude, S. Kiee, F. Sooudeh, S. Riche, J. Bojuga, E. Hema, T. Poyad, C. Dieich, J. Vemehe, S. Zeuzem, ad C. Saazi, Live fibosis i vial hepaiis: Noivasive assessme wih acousic adiaio foce impulse imagig vesus asie elasogaphy, Radiology, vol. 5, o., pp , 009. [] S. Colombo, M. Buoocoe, A. Del Poggio, C. Jamolei, S. Elia, M. Maiello, D. Zabbialii, ad P. Del Poggio, Head-o-head compaiso of asie elasogaphy (TE), eal-ime issue elasogaphy (RTE), ad acousic adiaio foce impulse (ARFI) imagig i he diagosis of live fibosis, J. Gasoeeol., vol. 47, o. 4, pp , 0. [3] W. Medehall ad T. Sicich, Saisics fo Egieeig ad he Scieces, 3d ed., New Yok, NY: Macmilla, 99. [4] J. E. Lidop, G. M. Teece, A. H. Gee, ad R. W. Page, Esimaio of displaceme locaio fo ehaced sai imagig, IEEE Tas. Ulaso. Feoelec. Feq. Cool, vol. 54, o. 9, pp , 007.

13 770 IEEE Tasacios o Ulasoics, Feoelecics, ad Fequecy Cool, vol. 60, o. 4, Apil 03 [5] M. H. Wag, M. L. Palmei, V. Roembeg, N. C. Rouze, ad K. R. Nighigale, Impovig he obusess of ime-of-fligh based shea wave speed ecosucio mehods usig RANSAC i huma live i vivo, Ulasoud Med. Biol., vol. 36, o. 5, pp , 00. [6] A. Papoulis, Pobabiliy, Radom Vaiables ad Sochasic Pocesses, 3d ed., New Yok, NY: McGaw-Hill, 99. [7] L. Zhai, S. Hsu, R. Bouchad, ad K. Nighigale, A combied ARFI sequece fo D displaceme imagig ad shea wave velociy mappig, i IEEE Ulasoics Symp., 008, pp [8] A. Pesaveo, C. Peey, M. Kuege, ad H. Eme, A ime-efficie ad accuae sai esimaio cocep fo ulasoic elasogaphy usig ieaive phase zeo esimaio, IEEE Tas. Ulaso. Feoelec. Feq. Cool, vol. 46, o. 5, pp , 999. [9] R. Bouchad, M. Palmei, G. Pio, G. Tahey, J. Seee, ad P. Dayo, Opical ackig of acousic adiaio foce impulseiduced dyamics i a issue-mimickig phaom, J. Acous. Soc. Am., vol. 6, o. 5, pp , 009. [30] M. L. Palmei, S. McAleavey, G. Tahey, ad K. Nighigale, Ulasoic ackig of acousic adiaio foce-iduced displacemes i homogeeous media, IEEE Tas. Ulaso. Feoelec. Feq. Cool, vol. 53, o. 7, pp , 006. [3] S. McAleavey, K. Nighigale, ad G. Tahey, Esimaes of echo coelaio ad measueme bias i acousic adiaio foce impulse imagig, IEEE Tas. Ulaso. Feoelec. Feq. Cool, vol. 50, o. 6, pp , 003. [3] J. J. Dahl, M. L. Palmei, V. Agawal, K. N. Nighigale, ad G. E. Tahey, A paallel ackig mehod fo acousic adiaio foce impulse imagig, IEEE Tas. Ulaso. Feoelec. Feq. Cool, vol. 54, o., pp. 30 3, 007. [33] M. L. Palmei, A. C. Shama, R. R. Bouchad, R. W. Nighigale, ad K. R. Nighigale, A fiie-eleme mehod model of sof issue espose o impulsive acousic adiaio foce, IEEE Tas. Ulaso. Feoelec. Feq. Cool, vol. 5, o. 0, pp , 005. Michael H. Wag (S 08) eceived he B.E. (Hos) degee i elecical ad elecoic egieeig fom he Uivesiy of Caebuy, Chischuch, New Zealad, i 003. He eceived he M.A.Sc. degee i elecical ad compue egieeig fom he Uivesiy of Biish Columbia, Vacouve, Caada, i 006. He is cuely pusuig a Ph.D. degee i biomedical egieeig a Duke Uivesiy. His eseach ieess iclude acousic adiaio foce imagig ad chaaceizig he viscoelasic popeies of livig issue. Mak L. Palmei eceived his B.S. degee i biomedical ad elecical egieeig fom Duke Uivesiy, Duham, NC, i 000. He was a James B. Duke gaduae fellow; he eceived his Ph.D. degee i biomedical egieeig fom Duke Uivesiy i 005 ad his M.D. degee fom he Duke Uivesiy School of Medicie i 007. He is cuely a Assisa Reseach Pofesso i biomedical egieeig ad aeshesiology a Duke Uivesiy. His eseach ieess iclude acousic adiaio foce shea wave elasiciy imagig, ulasoic imagig, ad fiie eleme aalysis of sof issue espose o acousic adiaio foce exciaio. Ned C. Rouze eceived bachelo s degees i physics ad mahemaics fom Hasigs College i 977 ad a Ph.D. degee i physics fom he Uivesiy of Washigo i 98. He is cuely a Seio Reseach Scieis i biomedical egieeig a Duke Uivesiy. His eseach ieess iclude adiaio foce imagig, mechaical popeies of sof issue, omogaphic ecosucio, ad pae ecogiio. Kahy Nighigale eceived he B.S. degee i elecical egieeig ad he Ph.D. degee i biomedical egieeig fom Duke Uivesiy i 989 ad 997, especively, havig seved i he Uied Saes Ai Foce fom 989 o 99. Followig he gaduae wok, she pefomed eseach as a Assisa Reseach Pofesso i he Depame of Biomedical Egieeig a Duke Uivesiy fom 997 o 004, ivesigaig acousic-adiaiofoce-based elasiciy imagig mehods. D. Nighigale is cuely eachig ad coducig eseach as a Associae Pofesso i he Depame of Biomedical Egieeig a Duke Uivesiy. He eseach ieess iclude elasiciy imagig, shea wave imagig, he use of acousic adiaio foce i diagosic ad heapeuic ulasoud, ad he accuae chaaceizaio of oliea acousic popagaio i sof issues. Be C. Byam eceived he B.S. degee i biomedical egieeig ad mah fom Vadebil Uivesiy, Nashville, TN, i 004. He eceived he Ph.D. degee i biomedical egieeig i 0 fom Duke Uivesiy, Duham, NC. Bewee 006 ad 007, he spe 0 mohs wokig wih Jøge Jese i he Cee fo Fas Ulasoud Imagig i Lygby, Demak. He is cuely a assisa eseach pofesso i he Biomedical Egieeig Depame a Duke Uivesiy. His ulasoud eseach ieess iclude beamfomig, moio esimaio, ad ohe elaed sigal pocessig asks.

Supplementary Information

Supplementary Information Supplemeay Ifomaio No-ivasive, asie deemiaio of he coe empeaue of a hea-geeaig solid body Dea Ahoy, Daipaya Saka, Aku Jai * Mechaical ad Aeospace Egieeig Depame Uivesiy of Texas a Aligo, Aligo, TX, USA.

More information

Comparing Different Estimators for Parameters of Kumaraswamy Distribution

Comparing Different Estimators for Parameters of Kumaraswamy Distribution Compaig Diffee Esimaos fo Paamees of Kumaaswamy Disibuio ا.م.د نذير عباس ابراهيم الشمري جامعة النهرين/بغداد-العراق أ.م.د نشات جاسم محمد الجامعة التقنية الوسطى/بغداد- العراق Absac: This pape deals wih compaig

More information

Transistor configurations: There are three main ways to place a FET/BJT in an architecture:

Transistor configurations: There are three main ways to place a FET/BJT in an architecture: F3 Mo 0. Amplifie Achiecues Whe a asiso is used i a amplifie, oscillao, file, seso, ec. i will also be a eed fo passive elemes like esisos, capacios ad coils o povide biasig so ha he asiso has he coec

More information

INF 5460 Electronic noise Estimates and countermeasures. Lecture 13 (Mot 10) Amplifier Architectures

INF 5460 Electronic noise Estimates and countermeasures. Lecture 13 (Mot 10) Amplifier Architectures NF 5460 lecoic oise simaes ad couemeasues Lecue 3 (Mo 0) Amplifie Achiecues Whe a asiso is used i a amplifie, oscillao, file, seso, ec. i will also be a eed fo passive elemes like esisos, capacios ad coils

More information

Capítulo. of Particles: Energy and Momentum Methods

Capítulo. of Particles: Energy and Momentum Methods Capíulo 5 Kieics of Paicles: Eegy ad Momeum Mehods Mecáica II Coes Ioducio Wok of a Foce Piciple of Wok & Eegy pplicaios of he Piciple of Wok & Eegy Powe ad Efficiecy Sample Poblem 3. Sample Poblem 3.

More information

Available online at J. Math. Comput. Sci. 2 (2012), No. 4, ISSN:

Available online at   J. Math. Comput. Sci. 2 (2012), No. 4, ISSN: Available olie a h://scik.og J. Mah. Comu. Sci. 2 (22), No. 4, 83-835 ISSN: 927-537 UNBIASED ESTIMATION IN BURR DISTRIBUTION YASHBIR SINGH * Deame of Saisics, School of Mahemaics, Saisics ad Comuaioal

More information

Statistical Optics and Free Electron Lasers

Statistical Optics and Free Electron Lasers Saisical Opics ad Fee leco Lases ialuca eloi uopea XFL Los Ageles UCLA Jauay 5 h 07 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 is difficul if o impossible o coceive

More information

6.2 Improving Our 3-D Graphics Pipeline

6.2 Improving Our 3-D Graphics Pipeline 6.2. IMPROVING OUR 3-D GRAPHICS PIPELINE 8 6.2 Impovig Ou 3-D Gaphics Pipelie We iish ou basic 3D gaphics pipelie wih he implemeaio o pespecive. beoe we do his, we eview homogeeous coodiaes. 6.2. Homogeeous

More information

Parameter Optimization of Multi-element Synthetic Aperture Imaging Systems

Parameter Optimization of Multi-element Synthetic Aperture Imaging Systems Paaee Opiizaio of Muli-elee Syheic Apeue Iagig Syses Vea Beha Isiue fo Paallel Pocessig Bulgaia Acadey of Scieces 5-A Acad. G. Bochev S., Sofia 1113, Bulgaia E-ail: beha@bas.bg Received: Jauay 19, 7 Acceped:

More information

Cameras and World Geometry

Cameras and World Geometry Caeas ad Wold Geoe How all is his woa? How high is he caea? Wha is he caea oaio w. wold? Which ball is close? Jaes Has Thigs o eebe Has Pihole caea odel ad caea (pojecio) ai Hoogeeous coodiaes allow pojecio

More information

The Central Limit Theorems for Sums of Powers of Function of Independent Random Variables

The Central Limit Theorems for Sums of Powers of Function of Independent Random Variables ScieceAsia 8 () : 55-6 The Ceal Limi Theoems fo Sums of Poes of Fucio of Idepede Radom Vaiables K Laipapo a ad K Neammaee b a Depame of Mahemaics Walailak Uivesiy Nakho Si Thammaa 86 Thailad b Depame of

More information

On a Z-Transformation Approach to a Continuous-Time Markov Process with Nonfixed Transition Rates

On a Z-Transformation Approach to a Continuous-Time Markov Process with Nonfixed Transition Rates Ge. Mah. Noes, Vol. 24, No. 2, Ocobe 24, pp. 85-96 ISSN 229-784; Copyigh ICSRS Publicaio, 24 www.i-css.og Available fee olie a hp://www.gema.i O a Z-Tasfomaio Appoach o a Coiuous-Time Maov Pocess wih Nofixed

More information

Neutron Slowing Down Distances and Times in Hydrogenous Materials. Erin Boyd May 10, 2005

Neutron Slowing Down Distances and Times in Hydrogenous Materials. Erin Boyd May 10, 2005 Neu Slwig Dw Disaces ad Times i Hydgeus Maeials i Byd May 0 005 Oulie Backgud / Lecue Maeial Neu Slwig Dw quai Flux behavi i hydgeus medium Femi eame f calculaig slwig dw disaces ad imes. Bief deivai f

More information

Calculation of maximum ground movement and deformation caused by mining

Calculation of maximum ground movement and deformation caused by mining Tas. Nofeous Me. Soc. Chia 1(011) s5-s59 Calculaio of maximum goud moveme ad defomaio caused by miig LI Pei xia 1,, TAN Zhi xiag 1,, DENG Ka zhog 1, 1. Key Laboaoy fo Lad Eviome ad Disase Moioig of Sae

More information

Model characterization of impulse response for diffuse optical indoor wireless channels

Model characterization of impulse response for diffuse optical indoor wireless channels 2005 WEA I. Cof. o DYNAMICAL YTEM ad CONTOL Veice Ialy Novembe 2-4 2005 pp545-550 Model caaceizaio of impulse espose fo diffuse opical idoo wieless caels Adia Miaescu Maius Oeseau Uivesiaea Polieica Timişoaa

More information

On imploding cylindrical and spherical shock waves in a perfect gas

On imploding cylindrical and spherical shock waves in a perfect gas J. Fluid Mech. (2006), vol. 560, pp. 103 122. c 2006 Cambidge Uivesiy Pess doi:10.1017/s0022112006000590 Pied i he Uied Kigdom 103 O implodig cylidical ad spheical shock waves i a pefec gas By N. F. PONCHAUT,

More information

THE SOIL STRUCTURE INTERACTION ANALYSIS BASED ON SUBSTRUCTURE METHOD IN TIME DOMAIN

THE SOIL STRUCTURE INTERACTION ANALYSIS BASED ON SUBSTRUCTURE METHOD IN TIME DOMAIN THE SOIL STRUCTURE INTERACTION ANALYSIS BASED ON SUBSTRUCTURE METHOD IN TIME DOMAIN Musafa KUTANIS Ad Muzaffe ELMAS 2 SUMMARY I is pape, a vaiaio of e FEM wic is so-called geeal subsucue meod is caied

More information

Analysis of Stress in PD Front End Solenoids I. Terechkine

Analysis of Stress in PD Front End Solenoids I. Terechkine TD-05-039 Sepembe 0, 005 I. Ioducio. Aalysis of Sess i PD Fo Ed Soleoids I. Teechkie Thee ae fou diffee ypes of supecoducig soleoids used fo beam focusig i he Fod Ed of he Poo Dive. Table 1 gives a idea

More information

Relations on the Apostol Type (p, q)-frobenius-euler Polynomials and Generalizations of the Srivastava-Pintér Addition Theorems

Relations on the Apostol Type (p, q)-frobenius-euler Polynomials and Generalizations of the Srivastava-Pintér Addition Theorems Tish Joal of Aalysis ad Nmbe Theoy 27 Vol 5 No 4 26-3 Available olie a hp://pbssciepbcom/ja/5/4/2 Sciece ad Edcaio Pblishig DOI:269/ja-5-4-2 Relaios o he Aposol Type (p -Fobeis-Ele Polyomials ad Geealizaios

More information

Indoor Navigation without the use of GPS utilizing Intelligent Data Algorithms

Indoor Navigation without the use of GPS utilizing Intelligent Data Algorithms Idoo avigaio wihou he use of GS uilizig Iellige Daa Algoihms Sco M. Gif e Sae Gea Valley School of Gaduae ofessioal Sudies 30 Eas Swedesfod Road, Malve, A 9355, USA e-mail: smg80@psu.edu Asac avigaio i

More information

Computer Propagation Analysis Tools

Computer Propagation Analysis Tools Compue Popagaion Analysis Tools. Compue Popagaion Analysis Tools Inoducion By now you ae pobably geing he idea ha pedicing eceived signal sengh is a eally impoan as in he design of a wieless communicaion

More information

GENERALIZED FRACTIONAL INTEGRAL OPERATORS AND THEIR MODIFIED VERSIONS

GENERALIZED FRACTIONAL INTEGRAL OPERATORS AND THEIR MODIFIED VERSIONS GENERALIZED FRACTIONAL INTEGRAL OPERATORS AND THEIR MODIFIED VERSIONS HENDRA GUNAWAN Absac. Associaed o a fucio ρ :(, ) (, ), le T ρ be he opeao defied o a suiable fucio space by T ρ f(x) := f(y) dy, R

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

Spectrum of The Direct Sum of Operators. 1. Introduction

Spectrum of The Direct Sum of Operators. 1. Introduction Specu of The Diec Su of Opeaos by E.OTKUN ÇEVİK ad Z.I.ISMILOV Kaadeiz Techical Uivesiy, Faculy of Scieces, Depae of Maheaics 6080 Tabzo, TURKEY e-ail adess : zaeddi@yahoo.co bsac: I his wok, a coecio

More information

Outline. Review Homework Problem. Review Homework Problem II. Review Dimensionless Problem. Review Convection Problem

Outline. Review Homework Problem. Review Homework Problem II. Review Dimensionless Problem. Review Convection Problem adial diffsio eqaio Febay 4 9 Diffsio Eqaios i ylidical oodiaes ay aeo Mechaical Egieeig 5B Seia i Egieeig Aalysis Febay 4, 9 Olie eview las class Gadie ad covecio boday codiio Diffsio eqaio i adial coodiaes

More information

CAPACITY ANALYSIS OF ASYMPTOTICALLY LARGE MIMO CHANNELS. Georgy Levin

CAPACITY ANALYSIS OF ASYMPTOTICALLY LARGE MIMO CHANNELS. Georgy Levin CAPACITY ANALYSIS OF ASYMPTOTICALLY LAGE MIMO CANNELS by Geogy Levi The hesis submied o he Faculy of Gaduae ad Posdocoal Sudies i paial fulfillme of he equiemes fo he degee of DOCTO OF PILOSOPY i Elecical

More information

COST OPTIMIZATION OF SLAB MILLING OPERATION USING GENETIC ALGORITHMS

COST OPTIMIZATION OF SLAB MILLING OPERATION USING GENETIC ALGORITHMS COST OPTIMIZATIO OF SLAB MILLIG OPERATIO USIG GEETIC ALGORITHMS Bhavsa, S.. ad Saghvi, R.C. G H Pael College of Egieeig ad Techology, Vallah Vidyaaga 388 20, Aad, Gujaa E-mail:sake976@yahoo.co.i; ajeshsaghvi@gce.ac.i

More information

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences Chapte : Theoy of Modula Aithmetic 8 Sectio D Chiese Remaide Theoem By the ed of this sectio you will be able to pove the Chiese Remaide Theoem apply this theoem to solve simultaeous liea cogueces The

More information

The Alpha-Logarithmic Series Distribution of Order k and Some of Its Applications

The Alpha-Logarithmic Series Distribution of Order k and Some of Its Applications oual of Saisical Theo ad Applicaios Vol. 5 No. 3 Sepembe 6 73-85 The Alpha-Logaihmic Seies Disibuio of Ode ad Some of Is Applicaios C. Saheesh Kuma Depame of Saisics Uivesi of Keala Tivadum - 695 58 Idia

More information

, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t

, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t Lecue 6: Fiis Tansmission Equaion and Rada Range Equaion (Fiis equaion. Maximum ange of a wieless link. Rada coss secion. Rada equaion. Maximum ange of a ada. 1. Fiis ansmission equaion Fiis ansmission

More information

One of the common descriptions of curvilinear motion uses path variables, which are measurements made along the tangent t and normal n to the path of

One of the common descriptions of curvilinear motion uses path variables, which are measurements made along the tangent t and normal n to the path of Oe of he commo descipios of cuilie moio uses ph ibles, which e mesuemes mde log he ge d oml o he ph of he picles. d e wo ohogol xes cosideed sepely fo eey is of moio. These coodies poide ul descipio fo

More information

Applications of force vibration. Rotating unbalance Base excitation Vibration measurement devices

Applications of force vibration. Rotating unbalance Base excitation Vibration measurement devices Applicaios of foce viaio Roaig ualace Base exciaio Viaio easuee devices Roaig ualace 1 Roaig ualace: Viaio caused y iegulaiies i he disiuio of he ass i he oaig copoe. Roaig ualace 0 FBD 1 FBD x x 0 e 0

More information

B. Maddah INDE 504 Simulation 09/02/17

B. Maddah INDE 504 Simulation 09/02/17 B. Maddah INDE 54 Simulaio 9/2/7 Queueig Primer Wha is a queueig sysem? A queueig sysem cosiss of servers (resources) ha provide service o cusomers (eiies). A Cusomer requesig service will sar service

More information

On composite conformal mapping of an annulus to a plane with two holes

On composite conformal mapping of an annulus to a plane with two holes O composite cofomal mappig of a aulus to a plae with two holes Mila Batista (July 07) Abstact I the aticle we coside the composite cofomal map which maps aulus to ifiite egio with symmetic hole ad ealy

More information

F D D D D F. smoothed value of the data including Y t the most recent data.

F D D D D F. smoothed value of the data including Y t the most recent data. Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig

More information

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

S, we call the base curve and the director curve. The straight lines

S, we call the base curve and the director curve. The straight lines Developable Ruled Sufaces wih Daboux Fame i iowsi -Space Sezai KIZILTUĞ, Ali ÇAKAK ahemaics Depame, Faculy of As ad Sciece, Ezica Uivesiy, Ezica, Tuey ahemaics Depame, Faculy of Sciece, Aau Uivesiy, Ezuum,

More information

Big O Notation for Time Complexity of Algorithms

Big O Notation for Time Complexity of Algorithms BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

12.6 Sequential LMMSE Estimation

12.6 Sequential LMMSE Estimation 12.6 Sequetial LMMSE Estimatio Same kid if settig as fo Sequetial LS Fied umbe of paametes (but hee they ae modeled as adom) Iceasig umbe of data samples Data Model: [ H[ θ + w[ (+1) 1 p 1 [ [[0] [] ukow

More information

ABSOLUTE INDEXED SUMMABILITY FACTOR OF AN INFINITE SERIES USING QUASI-F-POWER INCREASING SEQUENCES

ABSOLUTE INDEXED SUMMABILITY FACTOR OF AN INFINITE SERIES USING QUASI-F-POWER INCREASING SEQUENCES Available olie a h://sciog Egieeig Maheaics Lees 2 (23) No 56-66 ISSN 249-9337 ABSLUE INDEED SUMMABILIY FACR F AN INFINIE SERIES USING QUASI-F-WER INCREASING SEQUENCES SKAIKRAY * RKJAI 2 UKMISRA 3 NCSAH

More information

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017 Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy

More information

F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics

F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mahemaics Prelim Quesio Paper Soluio Q. Aemp ay FIVE of he followig : [0] Q.(a) Defie Eve ad odd fucios. [] As.: A fucio f() is said o be eve fucio if

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P.

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P. Pogessio Sequece & Seies A set of umbes whose domai is a eal umbe is called a SEQUENCE ad sum of the sequece is called a SERIES. If a, a, a, a 4,., a, is a sequece, the the expessio a + a + a + a 4 + a

More information

Extremal graph theory II: K t and K t,t

Extremal graph theory II: K t and K t,t Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee

More information

Reinforcement learning

Reinforcement learning Lecue 3 Reinfocemen leaning Milos Hauskech milos@cs.pi.edu 539 Senno Squae Reinfocemen leaning We wan o lean he conol policy: : X A We see examples of x (bu oupus a ae no given) Insead of a we ge a feedback

More information

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues Alied Maheaical Sciece Vol. 8 o. 5 747-75 The No-Tucaed Bul Aival Queue M x /M/ wih Reei Bali Sae-Deede ad a Addiioal Seve fo Loe Queue A. A. EL Shebiy aculy of Sciece Meofia Uiveiy Ey elhebiy@yahoo.co

More information

Orthotropic Materials

Orthotropic Materials Kapiel 2 Ohoopic Maeials 2. Elasic Sain maix Elasic sains ae elaed o sesses by Hooke's law, as saed below. The sesssain elaionship is in each maeial poin fomulaed in he local caesian coodinae sysem. ε

More information

Low-complexity Algorithms for MIMO Multiplexing Systems

Low-complexity Algorithms for MIMO Multiplexing Systems Low-complexiy Algoihms fo MIMO Muliplexing Sysems Ouline Inoducion QRD-M M algoihm Algoihm I: : o educe he numbe of suviving pahs. Algoihm II: : o educe he numbe of candidaes fo each ansmied signal. :

More information

( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to

( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to Compaiso Fuctios I this lesso, we study stability popeties of the oautoomous system = f t, x The difficulty is that ay solutio of this system statig at x( t ) depeds o both t ad t = x Thee ae thee special

More information

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

= 5! 3! 2! = 5! 3! (5 3)!. In general, the number of different groups of r items out of n items (when the order is ignored) is given by n!

= 5! 3! 2! = 5! 3! (5 3)!. In general, the number of different groups of r items out of n items (when the order is ignored) is given by n! 0 Combiatoial Aalysis Copyight by Deiz Kalı 4 Combiatios Questio 4 What is the diffeece betwee the followig questio i How may 3-lette wods ca you wite usig the lettes A, B, C, D, E ii How may 3-elemet

More information

Lecture 17: Kinetics of Phase Growth in a Two-component System:

Lecture 17: Kinetics of Phase Growth in a Two-component System: Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend

6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend 6//4 Defiiio Time series Daa A ime series Measures he same pheomeo a equal iervals of ime Time series Graph Compoes of ime series 5 5 5-5 7 Q 7 Q 7 Q 3 7 Q 4 8 Q 8 Q 8 Q 3 8 Q 4 9 Q 9 Q 9 Q 3 9 Q 4 Q Q

More information

LESSON 15: COMPOUND INTEREST

LESSON 15: COMPOUND INTEREST High School: Expoeial Fuctios LESSON 15: COMPOUND INTEREST 1. You have see this fomula fo compoud ieest. Paamete P is the picipal amou (the moey you stat with). Paamete is the ieest ate pe yea expessed

More information

An Open cycle and Closed cycle Gas Turbine Engines. Methods to improve the performance of simple gas turbine plants

An Open cycle and Closed cycle Gas Turbine Engines. Methods to improve the performance of simple gas turbine plants An Open cycle and losed cycle Gas ubine Engines Mehods o impove he pefomance of simple gas ubine plans I egeneaive Gas ubine ycle: he empeaue of he exhaus gases in a simple gas ubine is highe han he empeaue

More information

ON POINTWISE APPROXIMATION OF FUNCTIONS BY SOME MATRIX MEANS OF FOURIER SERIES

ON POINTWISE APPROXIMATION OF FUNCTIONS BY SOME MATRIX MEANS OF FOURIER SERIES M aheaical I equaliies & A pplicaios Volue 19, Nube 1 (216), 287 296 doi:1.7153/ia-19-21 ON POINTWISE APPROXIMATION OF FUNCTIONS BY SOME MATRIX MEANS OF FOURIER SERIES W. ŁENSKI AND B. SZAL (Couicaed by

More information

Consider the time-varying system, (14.1)

Consider the time-varying system, (14.1) Leue 4 // Oulie Moivaio Equivale Defiiios fo Lyapuov Sabiliy Uifomly Sabiliy ad Uifomly Asympoial Sabiliy 4 Covese Lyapuov Theoem 5 Ivaiae- lie Theoem 6 Summay Moivaio Taig poblem i ool, Suppose ha x (

More information

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE Mohia & Samaa, Vol. 1, No. II, December, 016, pp 34-49. ORIGINAL RESEARCH ARTICLE OPEN ACCESS FIED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE 1 Mohia S. *, Samaa T. K. 1 Deparme of Mahemaics, Sudhir Memorial

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion

More information

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12 Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)

More information

Monochromatic Wave over One and Two Bars

Monochromatic Wave over One and Two Bars Applied Mahemaical Sciences, Vol. 8, 204, no. 6, 307-3025 HIKARI Ld, www.m-hikai.com hp://dx.doi.og/0.2988/ams.204.44245 Monochomaic Wave ove One and Two Bas L.H. Wiyano Faculy of Mahemaics and Naual Sciences,

More information

Real-time TDDFT simulations within SIESTA. Daniel Sánchez-Portal, Rafi Ullah, Fabiano Corsetti, Miguel Pruneda and Emilio Artacho

Real-time TDDFT simulations within SIESTA. Daniel Sánchez-Portal, Rafi Ullah, Fabiano Corsetti, Miguel Pruneda and Emilio Artacho Real-ime TDDFT simulaios wihi SIESTA Daiel Sáchez-Poal, Rafi Ullah, Fabiao Cosei, Miguel Pueda ad Emilio Aacho Mai objecive Apply eal-ime simulaios wihi ime-depede desiy fucioal heoy TDDFT o sudy eleco

More information

MATH Midterm Solutions

MATH Midterm Solutions MATH 2113 - Midtem Solutios Febuay 18 1. A bag of mables cotais 4 which ae ed, 4 which ae blue ad 4 which ae gee. a How may mables must be chose fom the bag to guaatee that thee ae the same colou? We ca

More information

Dynamic h-index: the Hirsch index in function of time

Dynamic h-index: the Hirsch index in function of time Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260

More information

The Pigeonhole Principle 3.4 Binomial Coefficients

The Pigeonhole Principle 3.4 Binomial Coefficients Discete M athematic Chapte 3: Coutig 3. The Pigeohole Piciple 3.4 Biomial Coefficiets D Patic Cha School of Compute Sciece ad Egieeig South Chia Uivesity of Techology Ageda Ch 3. The Pigeohole Piciple

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 4 9/16/2013. Applications of the large deviation technique

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 4 9/16/2013. Applications of the large deviation technique MASSACHUSETTS ISTITUTE OF TECHOLOGY 6.265/5.070J Fall 203 Lecure 4 9/6/203 Applicaios of he large deviaio echique Coe.. Isurace problem 2. Queueig problem 3. Buffer overflow probabiliy Safey capial for

More information

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION Inenaional Jounal of Science, Technology & Managemen Volume No 04, Special Issue No. 0, Mach 205 ISSN (online): 2394-537 STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE

More information

Suppose we have observed values t 1, t 2, t n of a random variable T.

Suppose we have observed values t 1, t 2, t n of a random variable T. Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).

More information

Determining solar characteristics using planetary data

Determining solar characteristics using planetary data Detemining sola chaacteistics using planetay data Intoduction The Sun is a G-type main sequence sta at the cente of the Sola System aound which the planets, including ou Eath, obit. In this investigation

More information

arxiv: v4 [math.pr] 20 Jul 2016

arxiv: v4 [math.pr] 20 Jul 2016 Submied o he Aals of Applied Pobabiliy ε-strong SIMULATION FOR MULTIDIMENSIONAL STOCHASTIC DIFFERENTIAL EQUATIONS VIA ROUGH PATH ANALYSIS axiv:1403.5722v4 [mah.pr] 20 Jul 2016 By Jose Blache, Xiyu Che

More information

A Weighted Moving Average Process for Forcasting

A Weighted Moving Average Process for Forcasting Joual of Mode Applied aisical Mehods Volume 6 Issue Aicle 6 --007 A Weighed Movig Aveage Pocess fo Focasig hou Hsig hih Uivesiy of ouh Floida, sshih@mailusfedu Chis P Tsokos Uivesiy of ouh Floida, pofcp@casusfedu

More information

PRESSURE AND PRESSURE DERIVATIVE ANALYSIS FOR PSEUDOPLASTIC FLUIDS IN VERTICAL FRACTURED WELLS

PRESSURE AND PRESSURE DERIVATIVE ANALYSIS FOR PSEUDOPLASTIC FLUIDS IN VERTICAL FRACTURED WELLS VOL. 7, NO. 8, AUGUST 0 ISSN 89-6608 ARN Joual of Egieeig ad Applied Scieces 006-0 Asia Reseach ublishig Neo (ARN). All ighs eseved..apjouals.com RESSURE AN RESSURE ERIVATIVE ANALYSIS FOR SEUOLASTIC FLUIS

More information

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition. ! Revised April 21, 2010 1:27 P! 1 Fourier Series David Radall Assume ha u( x,) is real ad iegrable If he domai is periodic, wih period L, we ca express u( x,) exacly by a Fourier series expasio: ( ) =

More information

Multiparameter Golay 2-complementary sequences and transforms

Multiparameter Golay 2-complementary sequences and transforms Mulipaamee Golay -plemeay sequeces ad asfoms V.G. Labues, V.P. Chasovsih, E. Osheime Ual Sae Foes Egieeig Uivesiy, Sibisy a, 37, Eaeibug, Russia, 6000 Capica LLC, Pompao Beach, Floida, USA Absac. I his

More information

Journal of Xiamen University (Natural Science)

Journal of Xiamen University (Natural Science) 48 4 2009 7 () Joual of Xiame Uivesiy (Naual Sciece) Vol. 48 No. 4 J ul. 2009, 3 (, 36005) :,,.,,,.,.,. : ;;; : TP 393 :A :043820479 (2009) 0420493206,( dyamic age s). ( muliage sysems),, [ ], [2 ], [3

More information

The Production of Polarization

The Production of Polarization Physics 36: Waves Lecue 13 3/31/211 The Poducion of Polaizaion Today we will alk abou he poducion of polaized ligh. We aleady inoduced he concep of he polaizaion of ligh, a ansvese EM wave. To biefly eview

More information

Professor Wei Zhu. 1. Sampling from the Normal Population

Professor Wei Zhu. 1. Sampling from the Normal Population AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple

More information

Existence and Smoothness of Solution of Navier-Stokes Equation on R 3

Existence and Smoothness of Solution of Navier-Stokes Equation on R 3 Ieaioal Joual of Mode Noliea Theoy ad Applicaio, 5, 4, 7-6 Published Olie Jue 5 i SciRes. hp://www.scip.og/joual/ijma hp://dx.doi.og/.436/ijma.5.48 Exisece ad Smoohess of Soluio of Navie-Sokes Equaio o

More information

Two-dimensional Effects on the CSR Interaction Forces for an Energy-Chirped Bunch. Rui Li, J. Bisognano, R. Legg, and R. Bosch

Two-dimensional Effects on the CSR Interaction Forces for an Energy-Chirped Bunch. Rui Li, J. Bisognano, R. Legg, and R. Bosch Two-dimensional Effecs on he CS Ineacion Foces fo an Enegy-Chiped Bunch ui Li, J. Bisognano,. Legg, and. Bosch Ouline 1. Inoducion 2. Pevious 1D and 2D esuls fo Effecive CS Foce 3. Bunch Disibuion Vaiaion

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

Degree of Approximation of Fourier Series

Degree of Approximation of Fourier Series Ieaioal Mahemaical Foum Vol. 9 4 o. 9 49-47 HIARI Ld www.m-hiai.com h://d.doi.og/.988/im.4.49 Degee o Aoimaio o Fouie Seies by N E Meas B. P. Padhy U.. Misa Maheda Misa 3 ad Saosh uma Naya 4 Deame o Mahemaics

More information

Redes de Computadores

Redes de Computadores Redes de Compuadoes Deay Modes i Compue Newoks Maue P. Ricado Facudade de Egehaia da Uivesidade do Poo » Wha ae he commo muipexig saegies?» Wha is a Poisso pocess?» Wha is he Lie heoem?» Wha is a queue?»

More information

Outline. simplest HMM (1) simple HMMs? simplest HMM (2) Parameter estimation for discrete hidden Markov models

Outline. simplest HMM (1) simple HMMs? simplest HMM (2) Parameter estimation for discrete hidden Markov models Oulie Parameer esimaio for discree idde Markov models Juko Murakami () ad Tomas Taylor (2). Vicoria Uiversiy of Welligo 2. Arizoa Sae Uiversiy Descripio of simple idde Markov models Maximum likeliood esimae

More information

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGID ODIES In igid body kinemaics, we use he elaionships govening he displacemen, velociy and acceleaion, bu mus also accoun fo he oaional moion of he body. Descipion of he moion of igid

More information

Statistical Estimation

Statistical Estimation Learig Objecives Cofidece Levels, Iervals ad T-es Kow he differece bewee poi ad ierval esimaio. Esimae a populaio mea from a sample mea f large sample sizes. Esimae a populaio mea from a sample mea f small

More information

Ch 3.4 Binomial Coefficients. Pascal's Identit y and Triangle. Chapter 3.2 & 3.4. South China University of Technology

Ch 3.4 Binomial Coefficients. Pascal's Identit y and Triangle. Chapter 3.2 & 3.4. South China University of Technology Disc ete Mathem atic Chapte 3: Coutig 3. The Pigeohole Piciple 3.4 Biomial Coefficiets D Patic Cha School of Compute Sciece ad Egieeig South Chia Uivesity of Techology Pigeohole Piciple Suppose that a

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

TDCDFT: Nonlinear regime

TDCDFT: Nonlinear regime Lecue 3 TDCDFT: Noliea egime Case A. Ullich Uivesiy of Missoui Beasque Sepembe 2008 Oveview Lecue I: Basic fomalism of TDCDFT Lecue II: Applicaios of TDCDFT i liea espose Lecue III: TDCDFT i he oliea egime

More information

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier

More information

Lecture 15 First Properties of the Brownian Motion

Lecture 15 First Properties of the Brownian Motion Lecure 15: Firs Properies 1 of 8 Course: Theory of Probabiliy II Term: Sprig 2015 Isrucor: Gorda Zikovic Lecure 15 Firs Properies of he Browia Moio This lecure deals wih some of he more immediae properies

More information

A Bayesian Approach for Detecting Outliers in ARMA Time Series

A Bayesian Approach for Detecting Outliers in ARMA Time Series WSEAS RASACS o MAEMAICS Guochao Zhag Qigmig Gui A Bayesia Approach for Deecig Ouliers i ARMA ime Series GUOC ZAG Isiue of Sciece Iformaio Egieerig Uiversiy 45 Zhegzhou CIA 94587@qqcom QIGMIG GUI Isiue

More information

A new generation of tools for trawls Dynamic numerical simulation

A new generation of tools for trawls Dynamic numerical simulation A ew geeaio of oos fo aws Damic umeica simuaio Beoî INCENT IFREMER 8 ue F. Touec 5600 LORIENT Te : 33 (0) 97 87 38 04 emai : Beoi.ice@ifeme.f ABSTRACT IFREMER ad ECN have bee wokig ogehe fo amos e eas

More information

Math 6710, Fall 2016 Final Exam Solutions

Math 6710, Fall 2016 Final Exam Solutions Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be

More information

The sudden release of a large amount of energy E into a background fluid of density

The sudden release of a large amount of energy E into a background fluid of density 10 Poin explosion The sudden elease of a lage amoun of enegy E ino a backgound fluid of densiy ceaes a song explosion, chaaceized by a song shock wave (a blas wave ) emanaing fom he poin whee he enegy

More information