BISTATIC COHERENT MIMO CLUTTER RANK ANALYSIS

Size: px
Start display at page:

Download "BISTATIC COHERENT MIMO CLUTTER RANK ANALYSIS"

Transcription

1 3 Euopean Sgnal Pocessng Confeence (EUSIPCO BISAIC COHEEN MIMO CLUE ANK ANALYSIS Ksne Bell, * Joel Johnson, Chsophe Bae, Gaeme Smh, an Mualha angaswam * Meon, Inc, 88 Lba S, Sue 600, eson, Vgna 090, USA Dep of Eleccal an Compue Engneeng an ElecoScence Laboao, he Oho Sae Unves, Columbus, Oho, 430, USA US A Foce eseach Laboao, Sensos Decoae, Wgh-Paeson AFB, OH, USA ABSAC he an of he clue covaance n a bsac coheen mulple-npu mulple-oupu (MIMO aa ssem wh aba plana aas n boh he ansme an eceve s eamne he analss poves fuhe genealzaon of Bennan s ule esuls avalable fo lnea aas n monosac coheen MIMO an bsac space-me aapve pocessng (SAP ssems We fs een he wo-mensonal (D monosac SAP esuls of Vaaaajan an Kol (VK o monosac MIMO ssems wh plana aas We hen use he VK bsac SAP appoach an eemne conons une whch a fou-mensonal (4D bsac MIMO ssem can be moele as an equvalen D monosac MIMO ssem, an appl he D esuls he analcal epessons ae valae agans he numecall calculae an of he heoecal clue covaance Ine ems MIMO aa, SAP, bsac, monosac, clue an INODUCION Monosac coheen mulple-npu mulple oupu (MIMO aa fo goun movng age ncaon (GMI []-[3] s an eenson of monosac sngle-npu mulple oupu (SIMO space-me aapve pocessng (SAP [4]-[6], n whch mulple ansme elemens em ohogonal wavefoms ha ae pocesse sepaael a each of he eceve elemens an he scaeng esponses ae coheen acoss all ansm/eceve elemen pas Smlal, bsac coheen MIMO [7],[8] s a genealzaon of bsac SAP [9],[0], n whch he ansm an eceve elemens ae locae on spaall sepaae plafoms In coheen MIMO an SAP ssems, he clue occupes a low-mensonal subspace of he full-menson aa space he chaacescs of he clue subspace, nclung s an, have mpoan mplcaons fo he hs wo was suppoe b he US A Foce eseach Laboao une conac FA C-007 Opnons, nepeaons, conclusons, an ecommenaons ae hose of he auhos an no necessal enose b he U S Govenmen sgnal pocessng echnques use o mgae he clue as well as oveall ssem pefomance []-[3] Bennan s ule [4],[] poves a smple analcal epesson fo he clue an fo monosac SAP when he eceve elemens ae a unfoml space lnea aa (ULA algne wh he plafom veloc veco In hs case he effecve spaal samplng s n one menson (D along he aa as, an he scaee angle-ofaval (AOA an Dopple fequenc can be epesse n ems of a D spaal fequenc In [], he clue an was shown o be eemne b he pouc of he spaal apeue an spaal banwh, an Bennan s ule was eene o sub-aa geomees In [], hese D esuls wee fuhe eene o he monosac MIMO case whee he ansm aa s a lnea aa algne wh he veloc veco In monosac SAP ssems, when he eceve aa s a plana aa o a lnea aa no algne wh he veloc veco, he effecve spaal samplng s n wo mensons (D an he scaee AOA s epesene b a D spaal fequenc Clue an fo he D monosac case s analze n [0],[3] In [0], Vaaaajan an Kol (VK show ha he clue an s eemne b he sum of he apeue-banwh poucs along an ohogonal o he veloc veco In bsac SAP ssems, he poblem epans o one nvolvng a D ansm spaal fequenc n aon o he D o D eceve spaal fequenc an he effecve spaal samplng concep oes no anslae n an obvous manne In [0], une some some smplfng assumpons, he bsac SAP poblem was convee o an equvalen D monosac SAP poblem o whch he monosac esuls coul be apple In bsac MIMO ssems wh plana aas, we have D spaal fequences fo boh he eceve an ansme In hs pape, we fs een he VK D monosac SAP esuls o monosac MIMO ssems wh plana aas We hen use he VK bsac SAP appoach an eemne conons une whch a fou-mensonal (4D bsac MIMO ssem can be moele as an equvalen D monosac MIMO ssem, an appl he D esuls he analcal epessons ae valae agans he numecall calculae an of he heoecal clue covaance fo a epesenave scenao /5/$ IEEE 59

2 3 Euopean Sgnal Pocessng Confeence (EUSIPCO BISAIC COHEEN MIMO MODEL he bsac coheen MIMO moel pesene hee s he plana aa genealzaon of he lnea aa moels n [7],[8] he bsac coheen MIMO confguaon consss of one ansm ( plafom wh M ansm elemens an one eceve ( plafom wh N eceve elemens he ansm an eceve aas ae assume o be plana aas of omneconal elemens n geneal We assume he ansm elemens em ohogonal pulse Dopple wavefoms conssng of a sequence of L phase coheen pulses he sgnal obseve a each eceve elemen s pocesse b a ban of mache fles fo each of he ansme wavefoms he scaeng esponses ae assume o be coheen acoss all of he ansm/eceve elemens he hee-mensonal (3D fla-eah geome s shown n Fg he aa ssem paamees an vaous geomecal paamees ae efne n able he coonae ssem s efne so ha he ogn les ecl beneah he eceve plafom an he baselne beween he ansme an eceve les along he -as Fo a gven bsac ange B, he locus of goun clue scaees s an ellpse efne b he equaon: c, ( a b whee H H c B ( e e B ( B H H 4H a B( e B( e b a e We assume ha he euns fom he ene clue ellpse can be appomae as he sum of euns fom a lage numbe (N c of scee clue paches he h clue pach s hen moele as a pon scaee wh poson p [ ; ;0] an veloc p 0 Scaee paamees ae efne n able hese nclue plafom-efeence azmuh an elevaon angles, whch ae shown n Fg fo he eceve aa he measuemens fom a sngle clue pach can be epesse as a veco of he fom α vp, whee vp ( s he NML MIMO esponse veco fo a scaee a poson p an α s he comple clue eun he α ae assume o be zeo-mean, uncoelae anom vaables wh vaance P, gven b he aa equaon [8] he clue esponse veco c s hen he sum of nvual clue pach euns: N c c α v( p, (3 an he clue covaance s gven b: N c H H c E{ c c P v p v p (4 Fg Bsac coheen MIMO 3D fla Eah geome able Bsac coheen MIMO aa ssem paamees Paamee Defnon [uns] L Numbe of pulses [-] M Numbe elemens [-] N Numbe of elemens [-] aa opeang wavelengh [m] Pulse epeon neval [Hz] p p [ 0;0; ] plafom poson [m] p v H plafom veloc [m/s] v p plafom spee [m/s] Angle of plafom veloc δ veco w ssem -as p v [ cos δ ;sn δ ;0] plafom -as [-] [ sn δ ;cos δ ;0] ( n, n plafom -as [-] nh elemen poson w, aes [m] p [ ;0; H ] plafom poson [m] p v plafom veloc [m/s] v p plafom spee [m/s] Angle of plafom veloc δ veco w ssem -as p v [ cos δ ;sn δ ;0] plafom -as [-] [ sn δ ;cos δ ;0] ( m, m plafom -as [-] mh elemen poson w, aes [m] he MIMO esponse veco has he fom: vp v ( p v ( p v f ( p, (5 ( ( D( D whee enoes he Konece pouc he vecos v ( ( p an v ( ( p ae he N an M aa esponse vecos of he eceve an ansm aas, 50

3 3 Euopean Sgnal Pocessng Confeence (EUSIPCO Fg eceve plafom geome able Scaee paamees Paamee Defnon [uns] p [ ; ;0] Scaee poson [m] p p o scaee ange [m] ( p p o scaee un veco [-] p p o scaee ange [m] ( p p o scaee un veco [-] B f D p p φ θ φ θ Bsac ange [m] Saona scaee Dopple fequenc [Hz] azmuh angle [a] elevaon angle [a] azmuh angle [a] elevaon angle [a] especvel he epen on he scaee poson va he D spaal fequenc (wavenumbe vecos ( p ; an ( p ;, whose componens ae efne as follows: ( π ( π cosφ cosθ ( π ( π snφ cosθ (6 ( π ( π cosφ cosθ π πsnφ cos θ he nh an mh componens of he eceve an ansm aa esponse vecos, especvel, have he fom: v ( ( p ep{ j n n n (7 ( ep{ j m m v p m, (8 whee ( n, n an ( m, m ae he posons of he eceve an ansm elemens, along (-menson an ohogonal o (-menson he plafom veloc vecos he veco vd( f D( p s he L Dopple esponse veco, whch epens on he scaee poson va he Dopple fequenc, whch s gven b: f ( p D v v p p π (9 he lh componen of he Dopple esponse veco s: D( f v D p ep{ j π( l p fd( p l (0 ep { jl ( p v v If we efne D D l ( l pv; l ( l pv, ( an use he noaon { nml (( n M m L l, hen he { nml h elemen of he MIMO esponse veco can be epesse as: D vp ep{ j( { n l nml n ( D ep { j( m l m 3 Monosac Case 3 CLUE ANK ANALYSIS In he monosac case, p p an p p, heefoe he ansm an eceve spaal fequences conce, e an Fuhemoe, he elevaon angle cosθ cosθ s consan fo all an he D spaal fequenc componens have he elaonshp: cos π θ, (3 hus he clue specum s a ccle n he D spaal fequenc space, as shown n Fg 3 (an [0] Fg 3 Monosac clue specum he MIMO esponse veco n ( euces o: D vp ep{ j( { n m nml l (4 ep { j( n m hs has he fom of a spaal aa esponse veco, such as n (7 an (8, wh vual plana aa elemens a D posons (, nml,, nml ( n m l, n m Fom [0], he effecve apeue-banwh pouc s he numbe of ecangula esoluon cells eque o cove he ccula spaal specum, whee he sze of a esoluon cell s nvesel popoonal o he effecve apeue of he vual aa, as shown n Fg 3 he effecve apeue n he an -mensons s compue as he mum ffeence beween an wo vual aa 5

4 3 Euopean Sgnal Pocessng Confeence (EUSIPCO elemens n hose mensons plus : A ( n m mn ( n m ( L pv (5 A ( n m mn ( n m We hen fn he numbe of esoluon cells n he -an - mensons as follows: ( 4π cosθ cosθ N A ( π A (6 ( 4π cosθ cosθ N A π A ( If N > an N >, hen he numbe of cells aes o cove he spaal specum s NN 4, as shown n Fg 3 We a one o ge he clue an: ρ D N N 3 (7 he epessons n (5-(7 pove he MIMO genealzaon o he D SAP esuls n [0] he epessons ae slghl ffeen han n [0] ue o ang he em o he apeue epessons n (5 If N, hen he spaal specum can be covee b N esoluon cells, an smlal f N he poblem euces o he D case an he clue an s: N N ρd (8 N N he D esul fo N euces o he Bennan s ule genealzaon fo MIMO n [] 3 Bsac Case In he bsac case, he spaal fequenc elaonshps ae moe complcae an he clue specum s a D manfol n 4D (,,, space Fom (6, he ansm an eceve spaal fequences sasf: ( ( ( ( cos cos π θ, (9 π θ, (0 an he elaonshp beween he ansm an eceve spaal fequences can be wen as: c s ( π c ( s c ( π s, whee c ( cos( δ δ s ( sn( δ δ ( c ( cos δ s sn δ Subsung hese epessons no (, we oban: Each scee elemen poves an effecve connuous apeue of lengh, he spaal Nqus samplng neval [4] he noaon enoes ounng up o an nege { j D D c s D { j n ( m l s mc (3 D { j( π( mc ms l c vp ep - { nml n l m l m ep ep In hs pape, we conse suaons whee he MIMO esponse veco n (3 has he fom of (4 an he bsac ssem can be epesene b an equvalen D monosac ssem hs wll occu when he agumen n he h lne of (3 s equal o zeo, whch eques one of he followng conons o be sasfe: an heefoe c 0 an s 0 hs s smla o he quas-monosac assumpon n [0] δ ( c 0 an m 0 m, e he ansm plafom veloc s pepencula o he baselne beween he ansme an eceve, an he ansm aa s a lnea aa algne wh he veloc veco 90 D v ( l 0 l an ( m, m m( sn δ,cosδ, e he ansme s saona an he ansm aa s a lnea aa algne pepencula o he baselne beween he ansme an eceve, egaless of he 0 abal efne (when v 0 angle δ he MIMO esponse veco hen has he fom of (4 wh vual plana aa elemens a posons gven b he ems n he squae baces n he fs wo ems n (3 Unfounael, hese vual elemen posons va wh clue pach ne hough he ems c an s, whch epen on he ao Fo smplc, we use he aveage ao, whch we assume s appomael equal o one, (, an efne: av c cos ( δ δ ; s sn( δ δ (4 he vual aa elemens hen become: c - s D D, nml n l m l m D, nml n m l m, (5 s c an he effecve apeues ae foun fom: A (, nml mn (, nml nml,, nml,, (6 A (, nml mn (, nml nml,, nml,, he D clue specum efne n (9 s no longe a ccle cenee a he ogn, howeve s an oval-shape egon, as shown n Fg 4 fo he eample n Secon 4 o fn N an N, we fs eemne he specal een n he - an -mensons fom he mum an mnmum values of an n (9, an hen N an N ae gven b: ( ( mn mn N A ( π A π (7 ( ( mn mn N A ( π A π he clue an can hen be foun fom (7 o (8 he epessons n (4-(7 an (7 pove he 5

5 3 Euopean Sgnal Pocessng Confeence (EUSIPCO MIMO genealzaon o he D bsac SAP esuls n [0] he epessons ae slghl ffeen han n [0] ue o ang he em o he apeue epessons n (6, appomang he ange ao as one n (5, an n he meho fo compung he specal een n (7 4 EAMPLE We conse he followng scenao: N 0, M 5, L 6, 33 m, p /300 s, H m, v 00 m/s, δ 0, 5 m, H m, v 75 m/s, δ 90 he aa s a ULA wh spacng oae 3 wh espec o he eceve veloc veco he aa s a ULA wh spacng algne wh he ansm veloc veco We conse bsac anges fom 7 m o 5 m he eceve clue speca ae shown n Fg 4 A 5 m, he specum loos smla o he monosac case, bu as he ange eceases, he bsac geome causes he speca o become smalle, moe oval-shape, an shfe up an o he lef of he ogn he nomalze egenvalues of he clue covaance an he pece an ae shown n Fg 5 he egenvalues o no show a shap op-off hus s ha o sa wha he coec an s he pece ans ae all a he 999h pecenle (o geae of oal eneg he clue an s sgnfcanl less han NML 800, an eceases as bsac ange eceases ue o he smalle een of he spaal specum obseve n Fg 4 Fg 4 Bsac clue specum fo bsac anges vang fom 7 m o 5 m Fg 5 Nomalze egenvalues an pece clue an (vecal lnes fo bsac anges vang fom 7 m o 5 m 5 SUMMAY In hs pape, we analze he an of he clue covaance n a bsac coheen MIMO aa ssem wh aba plana aas n boh he ansme an eceve We fs eene he VK D monosac SAP esuls o monosac MIMO ssems wh plana aas, hen eemne conons une whch a 4D bsac MIMO ssem coul be moele as an equvalen D monosac MIMO ssem, an apple he D esuls he analcal epessons wee valae agans he numecall calculae an of he heoecal clue covaance fo a epesenave scenao EFEENCES [] J L an P Soca, MIMO aa wh Colocae Anennas, IEEE Sgnal Pocess Mag, vol 4, no 9, pp 06-4, Sep 007 [] C-Y Chen an P P Vaanahan, MIMO aa Space- me Aapve Pocessng Usng Polae Spheoal Wave Funcons, IEEE ans Sgnal Pocess, vol 56, no, pp , Feb 008 [3] J M Kano an D W Blss, Clue Covaance Maces fo GMI MIMO aa, n Poc 44h Asloma Conf Sgnals, Ss, Compu, Pacfc Gove, CA, pp 8-86, Nov 00 [4] J Wa, Space-me Aapve Pocessng fo Abone aa, MI Lncoln Laboao ech epo 05, DIC No ESC , Dec 994 [5] J Guec, Space-me Aapve Pocessng fo aa, Nowoo, MA: Aech House, 003 [6] Klemm, Pncples of Space-me Aapve Pocessng, 3 e, Lonon, UK: he Insuon of Engneeng an echnolog, 006 [7] J L, G Lao, an H Gffhs, Bsac MIMO aa Space-me Aapve Pocessng, n Poc IEEE aa Conf, Kansas C, MO, pp , Ma 0 [8] K L Bell, J Johnson, C J Bae, G E Smh, an M angaswam, Moelng an Smulaon fo Mulsac Coheen MIMO aa, n Poc IEEE aa Conf, Oawa, CN, Ap 03 [9] Y Zhang an B Hme, Bsac Space-me Aapve Pocessng (SAP fo Abone/Spacebone Applcaons, AFL ech epo AFL-SN-S , Ma 999 [0] V Vaaaajan an J L Kol, Jon Space-me Inepolaon fo Dsoe Lnea an Bsac Aa Geomees, IEEE ans Sgnal Pocess, vol 54, no 3, pp , Ma 006 [] L E Bennan an F M Sauahe, Subclue Vsbl Demonsaon, Aapve Sensos, Inc, Sana Monca, CA ech epo L--9-, 99 [] Q Zhang an W B Mhael, Esmaon of he Clue an n he Case of Subaang fo Space-me Aapve Pocessng, Eleconcs Lees, vol 33, no 5, pp 49-40, 7 Feb 997 [3] N A Gooman an J M Sles, On Clue an Obseve b Aba Aas, IEEE ans Sgnal Pocess, vol 55, no, pp 78-86, Jan 007 [4] H L Van ees, Opmum Aa Pocessng, New Yo, NY: Wle, 00 53

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

More information

Rotations.

Rotations. oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g

More information

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3 elave moon L4:1 To appl Newon's laws we need measuemens made fom a 'fed,' neal efeence fame (unacceleaed, non-oang) n man applcaons, measuemens ae made moe smpl fom movng efeence fames We hen need a wa

More information

Physics 201 Lecture 15

Physics 201 Lecture 15 Phscs 0 Lecue 5 l Goals Lecue 5 v Elo consevaon of oenu n D & D v Inouce oenu an Iulse Coens on oenu Consevaon l oe geneal han consevaon of echancal eneg l oenu Consevaon occus n sses wh no ne eenal foces

More information

ScienceDirect. Behavior of Integral Curves of the Quasilinear Second Order Differential Equations. Alma Omerspahic *

ScienceDirect. Behavior of Integral Curves of the Quasilinear Second Order Differential Equations. Alma Omerspahic * Avalable onlne a wwwscencedeccom ScenceDec oceda Engneeng 69 4 85 86 4h DAAAM Inenaonal Smposum on Inellgen Manufacung and Auomaon Behavo of Inegal Cuves of he uaslnea Second Ode Dffeenal Equaons Alma

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

2 shear strain / L for small angle

2 shear strain / L for small angle Sac quaons F F M al Sess omal sess foce coss-seconal aea eage Shea Sess shea sess shea foce coss-seconal aea llowable Sess Faco of Safe F. S San falue Shea San falue san change n lengh ognal lengh Hooke

More information

N 1. Time points are determined by the

N 1. Time points are determined by the upplemena Mehods Geneaon of scan sgnals In hs secon we descbe n deal how scan sgnals fo 3D scannng wee geneaed. can geneaon was done n hee seps: Fs, he dve sgnal fo he peo-focusng elemen was geneaed o

More information

Field due to a collection of N discrete point charges: r is in the direction from

Field due to a collection of N discrete point charges: r is in the direction from Physcs 46 Fomula Shee Exam Coulomb s Law qq Felec = k ˆ (Fo example, f F s he elecc foce ha q exes on q, hen ˆ s a un veco n he decon fom q o q.) Elecc Feld elaed o he elecc foce by: Felec = qe (elecc

More information

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced

More information

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr.

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr. Moden Enegy Funconal fo Nucle and Nuclea Mae By: lbeo noosa Teas &M Unvesy REU Cycloon 008 Meno: D. Shalom Shlomo Oulne. Inoducon.. The many-body poblem and he aee-fock mehod. 3. Skyme neacon. 4. aee-fock

More information

Lecture 5. Plane Wave Reflection and Transmission

Lecture 5. Plane Wave Reflection and Transmission Lecue 5 Plane Wave Reflecon and Tansmsson Incden wave: 1z E ( z) xˆ E (0) e 1 H ( z) yˆ E (0) e 1 Nomal Incdence (Revew) z 1 (,, ) E H S y (,, ) 1 1 1 Refleced wave: 1z E ( z) xˆ E E (0) e S H 1 1z H (

More information

Go over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration

Go over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration Mh Csquee Go oe eco nd eco lgeb Dsplcemen nd poson n -D Aege nd nsnneous eloc n -D Aege nd nsnneous cceleon n -D Poecle moon Unfom ccle moon Rele eloc* The componens e he legs of he gh ngle whose hpoenuse

More information

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy

More information

New Stability Condition of T-S Fuzzy Systems and Design of Robust Flight Control Principle

New Stability Condition of T-S Fuzzy Systems and Design of Robust Flight Control Principle 96 JOURNAL O ELECRONIC SCIENCE AND ECHNOLOGY, VOL., NO., MARCH 3 New Sably Conon of -S uzzy Sysems an Desgn of Robus lgh Conol Pncple Chun-Nng Yang, Ya-Zhou Yue, an Hu L Absac Unlke he pevous eseach woks

More information

s = rθ Chapter 10: Rotation 10.1: What is physics?

s = rθ Chapter 10: Rotation 10.1: What is physics? Chape : oaon Angula poson, velocy, acceleaon Consan angula acceleaon Angula and lnea quanes oaonal knec enegy oaonal nea Toque Newon s nd law o oaon Wok and oaonal knec enegy.: Wha s physcs? In pevous

More information

A Compact Representation of Spatial Correlation in MIMO Radio Channels

A Compact Representation of Spatial Correlation in MIMO Radio Channels A Compac epesenaon of Spaal Coelaon n MIMO ado Channels A. van Zels Endhoven Unves of echnolog P.O. Box 53 5600 MB Endhoven he Nehelands e-mal: A.v.Zels@ue.nl and Agee Ssems P.O. Box 755 3430 A Neuwegen

More information

1 Constant Real Rate C 1

1 Constant Real Rate C 1 Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns

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

Handling Fuzzy Constraints in Flow Shop Problem

Handling Fuzzy Constraints in Flow Shop Problem Handlng Fuzzy Consans n Flow Shop Poblem Xueyan Song and Sanja Peovc School of Compue Scence & IT, Unvesy of Nongham, UK E-mal: {s sp}@cs.no.ac.uk Absac In hs pape, we pesen an appoach o deal wh fuzzy

More information

A multi-band approach to arterial traffic signal optimization. Nathan H. Gartner Susan F. Assmann Fernando Lasaga Dennin L. Hou

A multi-band approach to arterial traffic signal optimization. Nathan H. Gartner Susan F. Assmann Fernando Lasaga Dennin L. Hou A mul-an appoach o aeal affc sgnal opmzaon Nahan H. Gane Susan F. Assmann Fenano Lasaga Dennn L. Hou MILP- The asc, symmec, unfom-h anh maxmzaon polem MILP- Exens he asc polem o nclue asymmec anhs n opposng

More information

Chapter 6 Plane Motion of Rigid Bodies

Chapter 6 Plane Motion of Rigid Bodies Chpe 6 Pne oon of Rd ode 6. Equon of oon fo Rd bod. 6., 6., 6.3 Conde d bod ced upon b ee een foce,, 3,. We cn ume h he bod mde of e numbe n of pce of m Δm (,,, n). Conden f he moon of he m cene of he

More information

Fast Calibration for Robot Welding System with Laser Vision

Fast Calibration for Robot Welding System with Laser Vision Fas Calbaon fo Robo Weldng Ssem h Lase Vson Lu Su Mechancal & Eleccal Engneeng Nanchang Unves Nanchang, Chna Wang Guoong Mechancal Engneeng Souh Chna Unves of echnolog Guanghou, Chna Absac Camea calbaon

More information

Reflection and Refraction

Reflection and Refraction Chape 1 Reflecon and Refacon We ae now neesed n eplong wha happens when a plane wave avelng n one medum encounes an neface (bounday) wh anohe medum. Undesandng hs phenomenon allows us o undesand hngs lke:

More information

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Fundamenal Jounal of Mahemaical Phsics Vol 3 Issue 013 Pages 55-6 Published online a hp://wwwfdincom/ MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Univesias

More information

A note on characterization related to distributional properties of random translation, contraction and dilation of generalized order statistics

A note on characterization related to distributional properties of random translation, contraction and dilation of generalized order statistics PobSa Foum, Volume 6, July 213, Pages 35 41 ISSN 974-3235 PobSa Foum is an e-jounal. Fo eails please visi www.pobsa.og.in A noe on chaaceizaion elae o isibuional popeies of anom anslaion, conacion an ilaion

More information

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1 ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon

More information

Optimal Control Strategies for Speed Control of Permanent-Magnet Synchronous Motor Drives

Optimal Control Strategies for Speed Control of Permanent-Magnet Synchronous Motor Drives Wol Acaemy of Scence, Engneeng an echnology 44 8 Opmal Conol Saeges fo Spee Conol of Pemanen-Magne Synchonos Moo Dves Roozbeh Molav, an Davoo A. Khab Absac he pemanen magne synchonos moo (PMSM) s vey sefl

More information

The Feigel Process. The Momentum of Quantum Vacuum. Geert Rikken Vojislav Krstic. CNRS-France. Ariadne call A0/1-4532/03/NL/MV 04/1201

The Feigel Process. The Momentum of Quantum Vacuum. Geert Rikken Vojislav Krstic. CNRS-France. Ariadne call A0/1-4532/03/NL/MV 04/1201 The Fegel Pocess The Momenum of Quanum Vacuum a an Tggelen CNRS -Fance Laboaoe e Physque e Moélsaon es Mleux Complexes Unesé Joseph Foue/CNRS, Genoble, Fance Gee Ren Vosla Ksc CNRS Fance CNRS-Fance Laboaoe

More information

MCTDH Approach to Strong Field Dynamics

MCTDH Approach to Strong Field Dynamics MCTDH ppoach o Song Feld Dynamcs Suen Sukasyan Thomas Babec and Msha Ivanov Unvesy o Oawa Canada Impeal College ondon UK KITP Sana Babaa. May 8 009 Movaon Song eld dynamcs Role o elecon coelaon Tunnel

More information

CHAPTER 3 DETECTION TECHNIQUES FOR MIMO SYSTEMS

CHAPTER 3 DETECTION TECHNIQUES FOR MIMO SYSTEMS 4 CAPTER 3 DETECTION TECNIQUES FOR MIMO SYSTEMS 3. INTRODUCTION The man challenge n he paccal ealzaon of MIMO weless sysems les n he effcen mplemenaon of he deeco whch needs o sepaae he spaally mulplexed

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

( ) ( )) ' j, k. These restrictions in turn imply a corresponding set of sample moment conditions:

( ) ( )) ' j, k. These restrictions in turn imply a corresponding set of sample moment conditions: esng he Random Walk Hypohess If changes n a sees P ae uncoelaed, hen he followng escons hold: va + va ( cov, 0 k 0 whee P P. k hese escons n un mply a coespondng se of sample momen condons: g µ + µ (,,

More information

EN221 - Fall HW # 7 Solutions

EN221 - Fall HW # 7 Solutions EN221 - Fall2008 - HW # 7 Soluions Pof. Vivek Shenoy 1.) Show ha he fomulae φ v ( φ + φ L)v (1) u v ( u + u L)v (2) can be pu ino he alenaive foms φ φ v v + φv na (3) u u v v + u(v n)a (4) (a) Using v

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

Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate

Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate ucs Nucleus Nucleus omaon cal supesauaon Mng o eucs, empeaue, ec. Pmay pacle Gowh Inegaon o uson-lme pacle gowh Nanopacles Agglomeaon eagglomeaon Agglomeae Sablsaon o he nanopacles agans agglomeaon! anspo

More information

Course Outline. 1. MATLAB tutorial 2. Motion of systems that can be idealized as particles

Course Outline. 1. MATLAB tutorial 2. Motion of systems that can be idealized as particles Couse Oulne. MATLAB uoal. Moon of syses ha can be dealzed as pacles Descpon of oon, coodnae syses; Newon s laws; Calculang foces equed o nduce pescbed oon; Deng and solng equaons of oon 3. Conseaon laws

More information

Part V: Velocity and Acceleration Analysis of Mechanisms

Part V: Velocity and Acceleration Analysis of Mechanisms Pat V: Velocty an Acceleaton Analyss of Mechansms Ths secton wll evew the most common an cuently pactce methos fo completng the knematcs analyss of mechansms; escbng moton though velocty an acceleaton.

More information

CHAPTER 5: MULTIVARIATE METHODS

CHAPTER 5: MULTIVARIATE METHODS CHAPER 5: MULIVARIAE MEHODS Mulvarae Daa 3 Mulple measuremens (sensors) npus/feaures/arbues: -varae N nsances/observaons/eamples Each row s an eample Each column represens a feaure X a b correspons o he

More information

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes]

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes] ENGI 44 Avance alculus fo Engineeing Faculy of Engineeing an Applie cience Poblem e 9 oluions [Theoems of Gauss an okes]. A fla aea A is boune by he iangle whose veices ae he poins P(,, ), Q(,, ) an R(,,

More information

University of California, Davis Date: June xx, PRELIMINARY EXAMINATION FOR THE Ph.D. DEGREE ANSWER KEY

University of California, Davis Date: June xx, PRELIMINARY EXAMINATION FOR THE Ph.D. DEGREE ANSWER KEY Unvesy of Calfona, Davs Dae: June xx, 009 Depamen of Economcs Tme: 5 hous Mcoeconomcs Readng Tme: 0 mnues PRELIMIARY EXAMIATIO FOR THE Ph.D. DEGREE Pa I ASWER KEY Ia) Thee ae goods. Good s lesue, measued

More information

Performance-Driven Resource Management In Layered Sensing

Performance-Driven Resource Management In Layered Sensing h Inenaonal Confeence on Infomaon Fuson Seale, WA, USA, July 6-9, 009 Pefomance-Dven Resouce Managemen In Layeed Sensng Chun Yang Sgem echnology, Inc. San Maeo, CA 9440 chunynag@sgem.com Ivan Kada Inelnk

More information

SCIENCE CHINA Technological Sciences

SCIENCE CHINA Technological Sciences SIENE HINA Technologcal Scences Acle Apl 4 Vol.57 No.4: 84 8 do:.7/s43-3-5448- The andom walkng mehod fo he seady lnea convecondffuson equaon wh axsymmec dsc bounday HEN Ka, SONG MengXuan & ZHANG Xng *

More information

Modeling Background from Compressed Video

Modeling Background from Compressed Video Modelng acgound fom Compessed Vdeo Weqang Wang Daong Chen Wen Gao Je Yang School of Compue Scence Canege Mellon Unvesy Psbugh 53 USA Insue of Compung echnology &Gaduae School Chnese Academy of Scences

More information

ME 141. Engineering Mechanics

ME 141. Engineering Mechanics ME 141 Engineeing Mechnics Lecue 13: Kinemics of igid bodies hmd Shhedi Shkil Lecue, ep. of Mechnicl Engg, UET E-mil: sshkil@me.bue.c.bd, shkil6791@gmil.com Websie: eche.bue.c.bd/sshkil Couesy: Veco Mechnics

More information

CHAPTER 13 LAGRANGIAN MECHANICS

CHAPTER 13 LAGRANGIAN MECHANICS CHAPTER 3 AGRANGIAN MECHANICS 3 Inoucon The usual way of usng newonan mechancs o solve a poblem n ynamcs s fs of all o aw a lage, clea agam of he sysem, usng a ule an a compass Then mak n he foces on he

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

MIMO Capacity for UWB Channel in Rectangular Metal Cavity

MIMO Capacity for UWB Channel in Rectangular Metal Cavity MMO Capacy o UB Channel n Recangula Meal Cavy Zhen u, Dalwnde ngh Depamen o Eleccal and Compue Engneeng Cene o Manuacung Reseach Tennessee Tech Unvesy zhu@nech.edu, dsngh@nech.edu Robe Qu (Conac Auho)

More information

On The Estimation of Two Missing Values in Randomized Complete Block Designs

On The Estimation of Two Missing Values in Randomized Complete Block Designs Mahemaical Theoy and Modeling ISSN 45804 (Pape ISSN 505 (Online Vol.6, No.7, 06 www.iise.og On The Esimaion of Two Missing Values in Randomized Complee Bloc Designs EFFANGA, EFFANGA OKON AND BASSE, E.

More information

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have:

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have: Poblem Se #3 Soluons Couse 4.454 Maco IV TA: Todd Gomley, gomley@m.edu sbued: Novembe 23, 2004 Ths poblem se does no need o be uned n Queson #: Sock Pces, vdends and Bubbles Assume you ae n an economy

More information

Digital Wiener s Filtering in Seismic Data Processing in Trans-Ramos Prospect of Rivers State

Digital Wiener s Filtering in Seismic Data Processing in Trans-Ramos Prospect of Rivers State Jounal of Emegng Tends n Engneeng and Appled Scences (JETEAS) (1): 43-49 Scholaln eseach Insue Jounals, 11 (ISSN: 141-716) jeeas.scholalneseach.og Jounal of Emegng Tends n Engneeng and Appled Scences (JETEAS)

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

Chapter Fifiteen. Surfaces Revisited

Chapter Fifiteen. Surfaces Revisited Chapte Ffteen ufaces Revsted 15.1 Vecto Descpton of ufaces We look now at the vey specal case of functons : D R 3, whee D R s a nce subset of the plane. We suppose s a nce functon. As the pont ( s, t)

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

More information

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing Peenaon fo Theoecal Condened Mae Phyc n TU Beln Geen-Funcon and GW appoxmaon Xnzheng L Theoy Depamen FHI May.8h 2005 Elecon n old Oulne Toal enegy---well olved Sngle pacle excaon---unde developng The Geen

More information

( ) exp i ω b ( ) [ III-1 ] exp( i ω ab. exp( i ω ba

( ) exp i ω b ( ) [ III-1 ] exp( i ω ab. exp( i ω ba THE INTEACTION OF ADIATION AND MATTE: SEMICLASSICAL THEOY PAGE 26 III. EVIEW OF BASIC QUANTUM MECHANICS : TWO -LEVEL QUANTUM SYSTEMS : The lieaue of quanum opics and lase specoscop abounds wih discussions

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

COPYRIGHT NOTICE: For COURSE PACK PERMISSIONS, refer to entry on previous menu. For more information, send to

COPYRIGHT NOTICE: For COURSE PACK PERMISSIONS, refer to entry on previous menu. For more information, send  to COPYRT NOTCE: TRBBE: Pnceon ue o Avance Physcs s publshe by Pnceon Unvesy Pess an copyghe, (c) 996, by Pnceon Unvesy Pess. All ghs eseve. Ths ex may be use an shae n accoance wh he fa-use povsons of US

More information

Delay-Dependent Control for Time-Delayed T-S Fuzzy Systems Using Descriptor Representation

Delay-Dependent Control for Time-Delayed T-S Fuzzy Systems Using Descriptor Representation 82 Inenaonal Jounal of Conol Auomaon and Sysems Vol 2 No 2 June 2004 Delay-Dependen Conol fo me-delayed -S Fuzzy Sysems Usng Descpo Repesenaon Eun ae Jeung Do Chang Oh and Hong Bae ak Absac: hs pape pesens

More information

Rotor profile design in a hypogerotor pump

Rotor profile design in a hypogerotor pump Jounal of Mechancal Scence and Technology (009 459~470 Jounal of Mechancal Scence and Technology www.spngelnk.com/conen/78-494x DOI 0.007/s06-009-007-y oo pofle desgn n a hypogeoo pump Soon-Man Kwon *,

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

Comparative Study of Inventory Model for Duopolistic Market under Trade Credit Deepa H Kandpal *, Khimya S Tinani #

Comparative Study of Inventory Model for Duopolistic Market under Trade Credit Deepa H Kandpal *, Khimya S Tinani # Inenaonal Jounal of Saska an Mahemaka ISSN: 77-79 E-ISSN: 49-865 Volume 6 Issue pp -9 ompaave Suy of Invenoy Moel fo Duopolsc Make une ae e Deepa H Kanpal * Khmya S nan # Depamen of Sascs Faculy of Scence

More information

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs)

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs) USOD 005 uecal Sudy of Lage-aea An-Reonan Reflecng Opcal Wavegude (ARROW Vecal-Cavy Seconduco Opcal Aplfe (VCSOA anhu Chen Su Fung Yu School of Eleccal and Eleconc Engneeng Conen Inoducon Vecal Cavy Seconduco

More information

Lecture 22 Electromagnetic Waves

Lecture 22 Electromagnetic Waves Lecue Elecomagneic Waves Pogam: 1. Enegy caied by he wave (Poyning veco).. Maxwell s equaions and Bounday condiions a inefaces. 3. Maeials boundaies: eflecion and efacion. Snell s Law. Quesions you should

More information

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland The Unque Soluon of Sochasc Dffeenal Equaons Dech Rye RyeDM@gawne.ch Mdaweg 3 CH-4500 Solohun Swzeland Phone +4132 621 13 07 Tme evesal n sysems whou an exenal df sngles ou he an-iô negal. Key wods: Sochasc

More information

UNIT10 PLANE OF REGRESSION

UNIT10 PLANE OF REGRESSION UIT0 PLAE OF REGRESSIO Plane of Regesson Stuctue 0. Intoducton Ojectves 0. Yule s otaton 0. Plane of Regesson fo thee Vaales 0.4 Popetes of Resduals 0.5 Vaance of the Resduals 0.6 Summay 0.7 Solutons /

More information

ESS 265 Spring Quarter 2005 Kinetic Simulations

ESS 265 Spring Quarter 2005 Kinetic Simulations SS 65 Spng Quae 5 Knec Sulaon Lecue une 9 5 An aple of an lecoagnec Pacle Code A an eaple of a knec ulaon we wll ue a one denonal elecoagnec ulaon code called KMPO deeloped b Yohhau Oua and Hoh Mauoo.

More information

β A Constant-G m Biasing

β A Constant-G m Biasing p 2002 EE 532 Anal IC Des II Pae 73 Cnsan-G Bas ecall ha us a PTAT cuen efeence (see p f p. 66 he nes) bas a bpla anss pes cnsan anscnucance e epeaue (an als epenen f supply lae an pcess). Hw h we achee

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

Maximum Likelihood Estimation

Maximum Likelihood Estimation Mau Lkelhood aon Beln Chen Depaen of Copue Scence & Infoaon ngneeng aonal Tawan oal Unvey Refeence:. he Alpaydn, Inoducon o Machne Leanng, Chape 4, MIT Pe, 4 Saple Sac and Populaon Paaee A Scheac Depcon

More information

PHYS 1443 Section 001 Lecture #4

PHYS 1443 Section 001 Lecture #4 PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law

More information

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay)

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay) Secions 3.1 and 3.4 Eponenial Funcions (Gowh and Decay) Chape 3. Secions 1 and 4 Page 1 of 5 Wha Would You Rahe Have... $1million, o double you money evey day fo 31 days saing wih 1cen? Day Cens Day Cens

More information

Relative and Circular Motion

Relative and Circular Motion Relaie and Cicula Moion a) Relaie moion b) Cenipeal acceleaion Mechanics Lecue 3 Slide 1 Mechanics Lecue 3 Slide 2 Time on Video Pelecue Looks like mosly eeyone hee has iewed enie pelecue GOOD! Thank you

More information

calculating electromagnetic

calculating electromagnetic Theoeal mehods fo alulang eleomagne felds fom lghnng dshage ajeev Thoapplll oyal Insue of Tehnology KTH Sweden ajeev.thoapplll@ee.kh.se Oulne Despon of he poblem Thee dffeen mehods fo feld alulaons - Dpole

More information

LOW-LOSS TUNING CIRCUITS FOR FREQUENCY-TUNABLE SMALL RESONANT ANTENNAS

LOW-LOSS TUNING CIRCUITS FOR FREQUENCY-TUNABLE SMALL RESONANT ANTENNAS LOW-LOSS TUNING CIRCUITS FOR FREQUENCY-TUNABLE SMALL RESONANT ANTENNAS Jan Ollkanen 1,, Ou Kvekäs 1,3, and Pe Vankanen 1,4 1 Helsnk Unvesy o Technology, Insue o Dgal Communcaons, Rado Laboaoy, P.O. Box

More information

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security 1 Geneal Non-Abiage Model I. Paial Diffeenial Equaion fo Picing A. aded Undelying Secuiy 1. Dynamics of he Asse Given by: a. ds = µ (S, )d + σ (S, )dz b. he asse can be eihe a sock, o a cuency, an index,

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s MÜHENDİSLİK MEKANİĞİ. HAFTA İMPULS- MMENTUM-ÇARPIŞMA Linea oenu of a paicle: The sybol L denoes he linea oenu and is defined as he ass ies he elociy of a paicle. L ÖRNEK : THE LINEAR IMPULSE-MMENTUM RELATIN

More information

6. Introduction to Transistor Amplifiers: Concepts and Small-Signal Model

6. Introduction to Transistor Amplifiers: Concepts and Small-Signal Model 6. ntoucton to anssto mples: oncepts an Small-Sgnal Moel Lectue notes: Sec. 5 Sea & Smth 6 th E: Sec. 5.4, 5.6 & 6.3-6.4 Sea & Smth 5 th E: Sec. 4.4, 4.6 & 5.3-5.4 EE 65, Wnte203, F. Najmaba Founaton o

More information

HERMITE SERIES SOLUTIONS OF LINEAR FREDHOLM INTEGRAL EQUATIONS

HERMITE SERIES SOLUTIONS OF LINEAR FREDHOLM INTEGRAL EQUATIONS Mhemcl nd Compuonl Applcons, Vol 6, o, pp 97-56, Assocon fo Scenfc Resech ERMITE SERIES SOLUTIOS OF LIEAR FREDOLM ITEGRAL EQUATIOS Slh Ylçınbş nd Müge Angül Depmen of Mhemcs, Fcul of Scence nd As, Cell

More information

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING MEEN 67 Handou # MODAL ANALYSIS OF MDOF Sysems wih VISCOS DAMPING ^ Symmeic Moion of a n-dof linea sysem is descibed by he second ode diffeenial equaions M+C+K=F whee () and F () ae n ows vecos of displacemens

More information

TRANSIENTS. Lecture 5 ELEC-E8409 High Voltage Engineering

TRANSIENTS. Lecture 5 ELEC-E8409 High Voltage Engineering TRANSIENTS Lece 5 ELECE8409 Hgh Volage Engneeng TRANSIENT VOLTAGES A ansen even s a sholved oscllaon (sgnfcanly fase han opeang feqency) n a sysem cased by a sdden change of volage, cen o load. Tansen

More information

Simulation of Non-normal Autocorrelated Variables

Simulation of Non-normal Autocorrelated Variables Jounal of Moden Appled Sascal Mehods Volume 5 Issue Acle 5 --005 Smulaon of Non-nomal Auocoelaed Vaables HT Holgesson Jönöpng Inenaonal Busness School Sweden homasholgesson@bshse Follow hs and addonal

More information

Sharif University of Technology - CEDRA By: Professor Ali Meghdari

Sharif University of Technology - CEDRA By: Professor Ali Meghdari Shaif Univesiy of echnology - CEDRA By: Pofesso Ali Meghai Pupose: o exen he Enegy appoach in eiving euaions of oion i.e. Lagange s Meho fo Mechanical Syses. opics: Genealize Cooinaes Lagangian Euaion

More information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

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

Projection of geometric models

Projection of geometric models ojecion of geomeic moels Copigh@, YZU Opimal Design Laboao. All ighs eseve. Las upae: Yeh-Liang Hsu (-9-). Noe: his is he couse maeial fo ME55 Geomeic moeling an compue gaphics, Yuan Ze Univesi. a of his

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

Support Vector Machines

Support Vector Machines Suppo Veco Machine CSL 3 ARIFICIAL INELLIGENCE SPRING 4 Suppo Veco Machine O, Kenel Machine Diciminan-baed mehod olean cla boundaie Suppo veco coni of eample cloe o bounday Kenel compue imilaiy beeen eample

More information

COORDINATE SYSTEMS, COORDINATE TRANSFORMS, AND APPLICATIONS

COORDINATE SYSTEMS, COORDINATE TRANSFORMS, AND APPLICATIONS Dola Bagaoo 0 COORDINTE SYSTEMS COORDINTE TRNSFORMS ND PPLICTIONS I. INTRODUCTION Smmet coce of coodnate sstem. In solvng Pscs poblems one cooses a coodnate sstem tat fts te poblem at and.e. a coodnate

More information

STABILITY CRITERIA FOR A CLASS OF NEUTRAL SYSTEMS VIA THE LMI APPROACH

STABILITY CRITERIA FOR A CLASS OF NEUTRAL SYSTEMS VIA THE LMI APPROACH Asan Jounal of Conol, Vol. 6, No., pp. 3-9, Mach 00 3 Bef Pape SABILIY CRIERIA FOR A CLASS OF NEURAL SYSEMS VIA HE LMI APPROACH Chang-Hua Len and Jen-De Chen ABSRAC In hs pape, he asypoc sably fo a class

More information

Fractional Order PID Design for Nonlinear Motion Control Based on Adept 550 Robot

Fractional Order PID Design for Nonlinear Motion Control Based on Adept 550 Robot ape 65 ENG 6 Faconal Oe I esgn fo Nonlnea oon Conol Base on Aep 55 obo Absac Yuquan Wan uue Unves awn@puue.eu Haan Zhang uue Unves hhzhang@puue.eu cha a Fench uue Unves fench@puue.eu ulln obo sses ae pcal

More information

ajanuary't I11 F or,'.

ajanuary't I11 F or,'. ',f,". ; q - c. ^. L.+T,..LJ.\ ; - ~,.,.,.,,,E k }."...,'s Y l.+ : '. " = /.. :4.,Y., _.,,. "-.. - '// ' 7< s k," ;< - " fn 07 265.-.-,... - ma/ \/ e 3 p~~f v-acecu ean d a e.eng nee ng sn ~yoo y namcs

More information

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions Inenaional Mahemaical Foum, Vol 8, 03, no 0, 463-47 HIKARI Ld, wwwm-hikaicom Combinaoial Appoach o M/M/ Queues Using Hypegeomeic Funcions Jagdish Saan and Kamal Nain Depamen of Saisics, Univesiy of Delhi,

More information

Chapter 7. Interference

Chapter 7. Interference Chape 7 Inefeence Pa I Geneal Consideaions Pinciple of Supeposiion Pinciple of Supeposiion When wo o moe opical waves mee in he same locaion, hey follow supeposiion pinciple Mos opical sensos deec opical

More information

Continuous-time evolutionary stock and bond markets with time-dependent strategies

Continuous-time evolutionary stock and bond markets with time-dependent strategies Afcan Jounal of Busness Managemen Vol. 64 pp. 463-474 Febuay Avalable onlne a hp://www.acaemcjounals.og/ajbm DOI:.5897/AJBM.5 ISSN 993-833 Acaemc Jounals Full Lengh Reseach Pape Connuous-me evoluonay soc

More information