Correlations in Underwater Acoustic Particle Velocity and Pressure Channels H. Guo 1, A. Abdi 1, A. Song 2, and M.Badiey 2
|
|
- Laura Palmer
- 5 years ago
- Views:
Transcription
1 Correlaton n Underwater Acoutc Partcle Veloct Preure Channel H. Guo A. Ad A. Song M.Bade Center for Wrele Councaton Sgnal Proceng Reearch et. of Electrcal Couter Engneerng New Jere Inttute of Technolog Newark NJ 7 USA Phcal Ocean Scence Engneerng College of Marne Earth Stude Unvert of elaware Newark E 97 USA Eal: hg5@njt.edu ad@ad.njt.edu ajong@udel.edu ade@udel.edu Atract eendng on the angle of arrval (AOA other channel charactertc dfferent te of correlaton aear aong acoutc reure acoutc artcle veloct channel. To have accurate channel odel for councaton te degn a colete et of correlaton are derved n th aer for a vector enor arra. In addton to exact reult accurate et le colex aroxaton are derved a well. Baed on the exact correlaton dela read of reure artcle veloct channel are calculated a well. Keword Channel characteraton frequenc atal correlaton underwater councaton acoutc vector enor. I. INTROUCTION A vector enor can eaure non-calar coonent of the acoutc feld uch a the artcle veloct whch cannot e ened a ngle calar (reure enor. Vector enor artcle veloct channel have recentl een rooed for underwater acoutc councaton [][][5][]. In ultath channel uch a hallow water a vector enor receve the gnal through everal ath. Th ntroduce dfferent level of correlaton n an arra of vector enor. A et of le cloed-for forula whch exre reure-veloct atal frequenc correlaton n ter of the channel araeter are derved n [] [] for a vertcal vector enor arra. Exact atal frequenc correlaton for an olque vector enor arra are needed to have ore accurate nforaton for councaton te degn. For exale coherence wdth dela read can e calculated ung thee correlaton. Bac defnton of channel n a vector enor arra a tattcal odel for correlaton of an olque vector enor arra are ntroduced n Secton II. General exact exreon for varou correlaton of nteret are derved n Secton III. For a Gauan angle of arrval odel all angle read aroxate exreon are derved n Secton IV. Nuercal reult for exact aroxate correlaton alo the dela read are gven n Secton V. Fnall dcuon concludng reark are rovded n Secton VI. II. SIGNAS AN CORREATIONS IN A VECTOR SENSOR ARRAY For an olque vector enor arra a hown n Fg. n the two-denonal - (range-deth lane there one reure trantter at the far fled called Tx hown a lack crcle. We alo have two receve vector enor rereented two lack quare wth the center of arra at. Each vector enor eaure the reure a well a the coonent of the artcle veloct all n a ngle co-located ont. Th ean that there are two reure channel a well a four reure-equvalent veloct channel all eaured n Pacal ( Newton/. In Fg. reure channel are rereented traght dahed lne wherea reure-equvalent veloct channel are hown curved dahed lne. The veloct channel v v v v are defned a v v ( jρ ω jρ ω. In the aove equaton ρ the dent of the flud n kg/ j ω f the frequenc n rad/. B ultlng the veloct channel n ( wth ρ c the negatve of the acoutc edance of the flud where c the eed of ound n / we otan the reure-equvalent veloct channel where ρcv ρcv ρcv ρcv. Wth λ a the wavelength n k /λ ω /c a the wavenuer n rad/ Th work uorted n art thenatonal Scence Foundaton (NSF Grant CCF-89 Fg.. A two-eleent olque vector enor recever arra.
2 we fnall otan jk jk. Each vector enor n Fg. rovde three outut gnal. For exale Rx generate one reure gnal r two reure-equvalent veloct gnal r r eaured n the drecton reectvel. Slar to [] [] the receved ra at the vector enor arra of th aer are hown n Fg. A two-denonal roagaton of lane wave n the - (range-deth lane aued n a te-nvarant envronent wth a the water deth. The vector enor arra centered at. Vector enor located at / ( / where a vector enor at / + ( /. All the angle are eaured wth reect to the otve drecton of counterclockwe. We odel the rough ea otto t urface a collecton of catterer reectvel uch that >> >>. In th aer we ue (. (. to ndcate all the otto urface coonent angle varale etc. In Fg. the -th otto catterer rereented S... wherea S denote the -th urface catterer.... Ra cattered fro the otto the urface toward the vector enor are hown old lne ra toward the center of arra are hown dahed lne. The ra cattered fro S ht Rx Rx at the AOA reectvel. The traveled dtance are laeled reectvel. Slarl the cattered ra fro S nge Rx Rx at the AOA reectvel wth a the traveled dtance hown n Fg.. The ule reone of the reure channel ( τ ( τ aed on the dela the AOA the correondng Fourer tranfor P ( f P ( f are gven n equaton (-(9 of [] for uchannel Tx Rx Tx Rx reectvel. The reure-equvalent channel of nteret n the dela-ace frequenc-ace doan can otaned artal dervatve of ( τ ( τ P ( f P ( f wth reect to horontal vertcal drecton. ( Fg.. Ra receved a two-eleent olque vector enor arra n a hallow water channel. III. EXACT CORREATION EXPRESSIONS The defnton of the reure channel frequenc-ace * correlaton gven CP ( f E[ P ( f + f P ( f ]. Here f the acng n frequenc doan are the vertcal horontal dtance etween the two vector enor reectvel * colex conjugate E the exectaton calculated over the dtruton of AOA fro the otto the urface. Slar to [] [] P ( f P ( f can e wrtten a / Λ ψ P ( f ( / a ex( j ex( jk [ co( + n( ]ex( jωτ / / / (( / a ex( jψ + Λ ex( jk [ co( + n( ]ex( jωτ / Λ ψ P ( f ( / a ex( j / / ex( jk[ co( + n( ]ex( jωτ / + / / (( / a ex( jψ + Λ ex( jk[ co( + n( ]ex( jωτ / + / where ω f ued to lf the notaton. The freq-ace correlaton of the reure channel can e hown to e C ( f w ( ex[ jk (co + co / ] Λ ex[ jk(n n ]ex[ jk(n + n / ] (5 ex[ jω( T T ]ex[ j ωt ] d w ( ex[ jk (co + co / ] + ( Λ ex[ jk(n n ] ex[ jk(n + n / ]. ex[ jω( T T ]ex[ j ωt ] d In (5 are the AOA of ra cong fro otto urface toward the vector enor arra center reectvel. co co n n rereent the correondng cone ne value of otto urface AOA for vector enor Rx Rx reectvel. The can e exreed n ter of n ( + ( / / ( n ( ( / / n ( ( / / n ( + ( / / co [( cot( ( / ] / co [( cot( + ( / ] / co [ cot( + ( / ] / co [ cot( ( / ] / where cot(. co(./n(.. Moreover are dtance fro the ea otto urface catterer to Rx ( ( (7 (8 (9
3 Rx reectvel. The are gven n (-( elow are functon of. T T n (5 are travel te fro otto urface catter to the Rx Rx reectvel can e wrtten a the functon of T T T T. ( c c c c We defne w ( w ( n (5 a the roalt dent functon (PF of the AOA of the wave cong fro the ea otto t urface reectvel uch that < < < <. Λ n (5 the ower rato etween the cattered coonent fro otto urface. Preure channel correlaton of two ecal cae vertcal horontal arra can e otaned ettng n (5 reectvel. The reult are gven n (5 for a vertcal arra ( for a horontal arra. Wth n (5 we otan the reure channel frequenc correlaton functon. Partcle veloct channel correlaton can e calculated takng dervatve of the reure channel correlaton functon n (5 wth reect to or. For exale dfferentaton of CP ( f wth reect to gve the correlaton etween the reure gnal at Rx the -veloct gnal at Rx. ue to the ace ltaton artcle veloct related channel correlaton are not reented here. IV. APPROXIMATE CORREATIONS FOR SMA ANGE SPREAS Exact correlaton exreon nclude ntegral over AOA whch are te conung to coute. For all angle read under certan condton uch a all acng etween arra eleent ueful ntegral-free aroxaton for vertcal horontal arra can e otaned ung (5 (. A. Vertcal Vector Senor Arra For << n( ung + x + ( x / when x << dtance gven n (-( can e aroxated a [( + n ( / ]/ n( [( n ( / ]/ n( [ ( n ( / ]/ n( [ + ( n ( / ]/ n(. Then uttutng (7 nto (-(9 reult n n n n ( /( n n n ( / n + n n( n + n n( T T n( / c T T n( / c T ( /( cn( T /( cn(. (7 (8 (9 ( ( B uttutng (8-( nto (5 we otan the aroxaton gven n ( elow. For all angle read o that n (. << n(. we odel AOA a Gauan dtruton for oth otto urface coonent wth ean µ µ varance σ σ reectvel w w ( ( σ ex[ ( µ ( σ ] ( ( ( σ ex[ ( µ ( σ ] (. ( Ung the charactertc functon of the Gauan varale /.e. ex( jθ x( σ ex[ x /( σ ] dx ex( σ θ / ( + (( / + ( / n ( ( ( / + ( / co( + arctan( n( n( ( ( + (( / + ( / n ( ( ( / + ( / co( + arctan( n( n( ( + (( / + ( / n ( ( / + ( / co( + arctan( n( n( ( + (( / + ( / n ( ( / + ( / co( + arctan( n( n(. ( C ( f Λ w ( ex[ jk(n n ]ex[ jk(n + n / ]ex[ jω( T T ]ex[ j ωt ] d + ( Λ w ( ex[ jk(n n ]ex[ jk(n + n / ]ex[ jω( T T ]ex[ j ωt ] d ( Λ ( ex[ (co + co / ]ex[ (n n ]ex[ ω( ]ex[ ω ] C f w jk jk j T T j T d + ( Λ w ( ex[ jk (co + co / ]ex[ jk(n n ]ex[ jω( T T ]ex[ j ] ωt. d (5 (
4 ntegral n ( can e olved whch reult n the ace-frequenc correlaton n ( for reure channel. B takng the frt dervatve of ( wth reect to cro-correlaton etween reure -veloct channel n ace frequenc can e otaned. The econd dervatve of ( rovde the ace-frequenc autocorrelaton functon of the -veloct channel. For exale the atal autocorrelaton functon of the -veloct gven n (5. B. Horontal Vector Senor Arra The dtance gven n (-( can e larl aroxated a [( ( n( co( / ]/ n( + [( ( n ( co( / ]/ n( [ + ( n( co( / ]/ n( [ ( n( co( / ]/ n(. Suttuton ( nto (-(9 reult n co( co( n( n( co( co( n( n( co( + co( co( co( + co( co( T T co( / c T T co( / c T ( /( cn( T /( cn(. ( (7 (8 (9 ( Therefore the ace-frequenc correlaton n ( for the horontal arra can e aroxated a (. For Gauan AOA ( lfe to (. fferentaton wth reect to rovde correlaton related to the -veloct channel. V. NUMERICA RESUTS Here we conder the cae where the two-eleent vector enor arra n Fg. receve gnal through two ea: one fro the otto wth ean AOA µ angle read σ the other one fro the urface wth ean AOA µ angle read σ. When the angle read are all we odel the AOA wth the Gauan PF gven n (. To anale atal frequenc correlaton of the olque vector enor arra we conder the ae araeter ued n [] []. The otto urface ean AOA are 8 degree wherea the correondng angle read are.5 degree. The center of the arra lace at 5 eter whle the water deth. The ower rato Λ.. Fg. how the atal correlaton agntude of the reure channel of the olque arra. Fg. Fg. 5 how the exact aroxate ulated reure channel atal correlaton for two ecal cae vertcal horontal arra. The ulaton reult confr the accurac of derved exact correlaton exreon. Cloe agreeent etween aroxate exact reult how the uefulne of aroxaton. Satal correlaton Horontal acng /λ 8 Vertcal acng /λ Fg.. Magntude of the reure atal correlaton of an olque vector enor arra. ω( C f w jk jk j d ( Λ ( ex[ n ( + n( ] cn( ω ( w ( ex[ jkn ( jk n( j ] d. cn( + Λ + + ( ( ω σ ( ω C ( f Λ ex jkn( µ j ex k co( µ + cn( µ cn( µ tan( µ ω σ ω + ( Λ ex jkn( µ + j ex k co( µ cn( µ cn( µ tan( µ C ( Λ [n ( µ + σ co ( µ σ k co ( µ + jσ kn( µ co ( µ ]ex jkn( µ σ k co ( µ (5 + ( Λ [n ( µ + σ co ( µ σ k co ( µ + jσ kn( µ co ( µ ]ex jk n( µ σ k co ( µ.. (
5 ω( C f w jk jk j d ( Λ ( ex[ ( + co( + co( ] ( ( cn( ω + ( Λ ( ex[ ( co( co( + ]. w jk jk j d cn( co( µ ( C ( Λ ex jk + co( µ + jk j ω ( ( c n( µ σ n( µ ( ex k + n( µ k + ω ( ( cn( µ tan( µ co( µ + ( Λ ex jk co( µ jk + j ω c n( µ σ n( µ ex k n( µ + k ω. c n( µ tan( µ ( (.9.8 Exact Aroxaton Sulaton.9.8 Satal correlaton agntude /λ Fg.. Magntude of the reure atal correlaton veru / λ for a horontal arra. Satal correlaton agntude Exact Aroxaton Sulaton /λ Fg. 5. Magntude of the reure atal correlaton veru / λ for a vertcal arra. Magntude of frequenc correlaton Sulated reure correlaton Exact reure correlaton Sulated veloct- correlaton Exact veloct- correlaton Sulated veloct- correlaton Exact veloct- correlaton f (H Fg.. Magntude of frequenc correlaton n a ngle vector enor. To anale the dela read of reure veloct channel we need ther frequenc correlaton functon. Fg. how the noraled exact ulated frequenc correlaton of reure veloct channel for the ae et of araeter ntroduced at the egnnng of th ecton. et u defne the coherence wdth a the frequenc at whch the noraled correlaton ecoe.5. Then the dela read can e condered to e the nvere of th coherence wdth. Accordng to Fg. the dela read of -veloct channel aller. Th can e etter undertood coarng the ule reone of reure veloct channel n Fg.7 otaned lottng equaton ( of [] t dervatve wth reect to. Clearl the reone of channel read over a aller range of dela n th exale. To tud the act of ean AOA angle read on the dela read of reure artcle veloct channel one can refer to Fg. 8 Fg. 9. ela read are lotted n Fg. 8 veru ean AOA whle angle read are fxed uch that σ σ 5 deg. On the other h n Fg. 9 dela read are 5
6 Preure channel ule reone agntude Veloct- channel ule reone agntude Veloct- channel ule reone agntude ela read (ec Preure channel Veloct- channel Veloct- channel Angle read: σ σ 5 deg τ (econd Fg. 7. Iule reone of the reure veloct channel. lotted n ter of equal angle read where µ deg. µ 5 deg. ( deg.. In oth fgure Λ.5 aued.e. equal ower for otto urface coonent. Content wth the Fg. Fg. 7 we ee n oth fgure the dela read of the -veloct channel aller for the hallow water odel condered n th aer. Accordng to Fg. 8 dela read are alot contant when ean AOA change uch that o µ ncreae µ µ. Th ght e ecaue the angle read are fxed o the nuer of ultath coonent cong fro dfferent drecton wth dfferent dela doe not change. However when angle read ncreae a n Fg. 9 then ore ra fro new drecton wll e receved whch wll aount to a wder range of dela (travel te n channel ule reone. Th can exlan the ncreae of dela read n Fg. 9. VI. ISCUSSION AN CONCUSION In th aer we have reented a ra-aed tattcal/geoetrcal fraework for characteraton of acoutc vector enor arra correlaton n hallow water. Exact correlaton exreon for an artrar vector enor arra are derved. Ung thee exreon one can calculate the exact correlaton etween reure veloct channel n ter of eleent acng frequenc earaton angle of arrval water deth arra locaton. Ueful aroxate correlaton exreon are alo derved when angle read are all. ela read of reure veloct channel are alo tuded ung channel frequenc correlaton functon. The reult of th aer are requred for the degn erforance aeent of ngle uer [][][5] ultuer [] underwater councaton te that oerate through acoutc artcle veloct channel Mean angle of arrval: µ - µ (deg. Fg. 8. ela read of reure veloct channel veru ean angle of arrval. ela read (ec Preure channel Veloct- channel Veloct- channel Mean angle of arrval: µ deg. µ 5 deg..5 5 Angle read: σ σ (deg. Fg. 9. ela read of reure veloct channel veru angle read. REFERENCES [] A. Ad H. Guo A new coact ultchannel recever for underwater wrele councaton network acceted for ulcaton n IEEE Tran. Wrele Coun. 8. [] A. Ad H. Guo Sgnal correlaton odelng n acoutc vector enor arra acceted for ulcaton n IEEE Tran. Sgnal Proceng. 8 [] A. Ad H. Guo A correlaton odelng for vector enor arra n underwater councaton te n Proc. MTS/IEEE Ocean Queec Ct QC Canada 8. [] A. Ad H. Guo P. Sutthwan A new vector enor recever for underwater acoutc councaton n Proc. MTS/IEEE Ocean Vancouver BC Canada 7. [5] A. Song M. Bade P. Hurk A. Ad Te reveral recever for underwater acoutc councaton ung vector enor n Proc. MTS/IEEE Ocean Queec Ct QC Canada 8. [] H. Guo A. Ad Multuer underwater councaton wth ace-te lock code acoutc vector enor n Proc. MTS/IEEE Ocean Queec Ct QC Canada 8.
Design of Recursive Digital Filters IIR
Degn of Recurve Dgtal Flter IIR The outut from a recurve dgtal flter deend on one or more revou outut value, a well a on nut t nvolve feedbac. A recurve flter ha an nfnte mule reone (IIR). The mulve reone
More informationQuick Visit to Bernoulli Land
Although we have een the Bernoull equaton and een t derved before, th next note how t dervaton for an uncopreble & nvcd flow. The dervaton follow that of Kuethe &Chow ot cloely (I lke t better than Anderon).
More informationChapter 5: Root Locus
Chater 5: Root Locu ey condton for Plottng Root Locu g n G Gven oen-loo tranfer functon G Charactertc equaton n g,,.., n Magntude Condton and Arguent Condton 5-3 Rule for Plottng Root Locu 5.3. Rule Rule
More informationBULLETIN OF MATHEMATICS AND STATISTICS RESEARCH
Vol.6.Iue..8 (July-Set.) KY PUBLICATIONS BULLETIN OF MATHEMATICS AND STATISTICS RESEARCH A Peer Revewed Internatonal Reearch Journal htt:www.bor.co Eal:edtorbor@gal.co RESEARCH ARTICLE A GENERALISED NEGATIVE
More informationRoot Locus Techniques
Root Locu Technque ELEC 32 Cloed-Loop Control The control nput u t ynthezed baed on the a pror knowledge of the ytem plant, the reference nput r t, and the error gnal, e t The control ytem meaure the output,
More informationScattering cross section (scattering width)
Scatterng cro ecton (catterng wdth) We aw n the begnnng how a catterng cro ecton defned for a fnte catterer n ter of the cattered power An nfnte cylnder, however, not a fnte object The feld radated by
More informationSystem in Weibull Distribution
Internatonal Matheatcal Foru 4 9 no. 9 94-95 Relablty Equvalence Factors of a Seres-Parallel Syste n Webull Dstrbuton M. A. El-Dacese Matheatcs Departent Faculty of Scence Tanta Unversty Tanta Egypt eldacese@yahoo.co
More information8 Waves in Uniform Magnetized Media
8 Wave n Unform Magnetzed Meda 81 Suceptblte The frt order current can be wrtten j = j = q d 3 p v f 1 ( r, p, t) = ɛ 0 χ E For Maxwellan dtrbuton Y n (λ) = f 0 (v, v ) = 1 πvth exp (v V ) v th 1 πv th
More informationConfidence intervals for the difference and the ratio of Lognormal means with bounded parameters
Songklanakarn J. Sc. Technol. 37 () 3-40 Mar.-Apr. 05 http://www.jt.pu.ac.th Orgnal Artcle Confdence nterval for the dfference and the rato of Lognormal mean wth bounded parameter Sa-aat Nwtpong* Department
More informationModule 5. Cables and Arches. Version 2 CE IIT, Kharagpur
odule 5 Cable and Arche Veron CE IIT, Kharagpur Leon 33 Two-nged Arch Veron CE IIT, Kharagpur Intructonal Objectve: After readng th chapter the tudent wll be able to 1. Compute horzontal reacton n two-hnged
More informationChapter 11. Supplemental Text Material. The method of steepest ascent can be derived as follows. Suppose that we have fit a firstorder
S-. The Method of Steepet cent Chapter. Supplemental Text Materal The method of teepet acent can be derved a follow. Suppoe that we have ft a frtorder model y = β + β x and we wh to ue th model to determne
More informationPHYS 100 Worked Examples Week 05: Newton s 2 nd Law
PHYS 00 Worked Eaple Week 05: ewton nd Law Poor Man Acceleroeter A drver hang an ar frehener fro ther rearvew rror wth a trng. When acceleratng onto the hghwa, the drver notce that the ar frehener ake
More informationModel Reference Adaptive Control for Perforated Mill. Xiu-Chun Zhao, Guo-Kai Xu, TaoZhang and Ping-Shu Ge
nd Internatonal Conference on Electronc & Mechancal Engneerng and Inforaton Technology (EMEIT-) Model Reference Adatve Control for Perforated Mll Xu-Chun Zhao, Guo-Ka Xu, TaoZhang and Png-Shu Ge Deartent
More informationScattering of two identical particles in the center-of. of-mass frame. (b)
Lecture # November 5 Scatterng of two dentcal partcle Relatvtc Quantum Mechanc: The Klen-Gordon equaton Interpretaton of the Klen-Gordon equaton The Drac equaton Drac repreentaton for the matrce α and
More information38050 Povo Trento (Italy), Via Sommarive 14
UNIVERSIY OF RENO EARMEN OF INFORMAION AN COMMUNICAION ECHNOLOGY 38050 ovo rento Italy Va Soarve 4 htt://www.dt.untn.t SUORING SERVICE IFFERENIAION IH ENHANCEMENS OF HE IEEE 80. MAC ROOCOL: MOELS AN ANALYSIS
More informationIntroduction to Antennas & Arrays
Introducton to Antennas & Arrays Antenna transton regon (structure) between guded eaves (.e. coaxal cable) and free space waves. On transmsson, antenna accepts energy from TL and radates t nto space. J.D.
More informationAdditional File 1 - Detailed explanation of the expression level CPD
Addtonal Fle - Detaled explanaton of the expreon level CPD A mentoned n the man text, the man CPD for the uterng model cont of two ndvdual factor: P( level gen P( level gen P ( level gen 2 (.).. CPD factor
More informationImprovements on Waring s Problem
Imrovement on Warng Problem L An-Png Bejng 85, PR Chna al@nacom Abtract By a new recurve algorthm for the auxlary equaton, n th aer, we wll gve ome mrovement for Warng roblem Keyword: Warng Problem, Hardy-Lttlewood
More informationDeparture Process from a M/M/m/ Queue
Dearture rocess fro a M/M// Queue Q - (-) Q Q3 Q4 (-) Knowledge of the nature of the dearture rocess fro a queue would be useful as we can then use t to analyze sle cases of queueng networs as shown. The
More informationSpecification -- Assumptions of the Simple Classical Linear Regression Model (CLRM) 1. Introduction
ECONOMICS 35* -- NOTE ECON 35* -- NOTE Specfcaton -- Aumpton of the Smple Clacal Lnear Regreon Model (CLRM). Introducton CLRM tand for the Clacal Lnear Regreon Model. The CLRM alo known a the tandard lnear
More informationSmall signal analysis
Small gnal analy. ntroducton Let u conder the crcut hown n Fg., where the nonlnear retor decrbed by the equaton g v havng graphcal repreentaton hown n Fg.. ( G (t G v(t v Fg. Fg. a D current ource wherea
More informationThermodynamics Lecture Series
Therodynac Lecture Sere Dynac Enery Traner Heat, ork and Ma ppled Scence Educaton Reearch Group (SERG) Faculty o ppled Scence Unvert Teknolo MR Pure utance Properte o Pure Sutance- Revew CHPTER eal: drjjlanta@hotal.co
More informationJoint Source Coding and Higher-Dimension Modulation
Jont Codng and Hgher-Dmenon Modulaton Tze C. Wong and Huck M. Kwon Electrcal Engneerng and Computer Scence Wchta State Unvert, Wchta, Kana 676, USA {tcwong; huck.kwon}@wchta.edu Abtract Th paper propoe
More informationEstimation of a proportion under a certain two-stage sampling design
Etmaton of a roorton under a certan two-tage amng degn Danutė Kraavcatė nttute of athematc and nformatc Lthuana Stattc Lthuana Lthuana e-ma: raav@tmt Abtract The am of th aer to demontrate wth exame that
More informationSource-Channel-Sink Some questions
Source-Channel-Snk Soe questons Source Channel Snk Aount of Inforaton avalable Source Entro Generall nos and a be te varng Introduces error and lts the rate at whch data can be transferred ow uch nforaton
More informationDiscrete Memoryless Channels
Dscrete Meorless Channels Source Channel Snk Aount of Inforaton avalable Source Entro Generall nos, dstorted and a be te varng ow uch nforaton s receved? ow uch s lost? Introduces error and lts the rate
More informationChapter 8: Fast Convolution. Keshab K. Parhi
Cater 8: Fat Convoluton Keab K. Par Cater 8 Fat Convoluton Introducton Cook-Too Algort and Modfed Cook-Too Algort Wnograd Algort and Modfed Wnograd Algort Iterated Convoluton Cyclc Convoluton Degn of Fat
More informationThe Dirac Equation. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year
The Drac Equaton Eleentary artcle hyscs Strong Interacton Fenoenology Dego Betton Acadec year - D Betton Fenoenologa Interazon Fort elatvstc equaton to descrbe the electron (ncludng ts sn) Conservaton
More informationChapter 6 The Effect of the GPS Systematic Errors on Deformation Parameters
Chapter 6 The Effect of the GPS Sytematc Error on Deformaton Parameter 6.. General Beutler et al., (988) dd the frt comprehenve tudy on the GPS ytematc error. Baed on a geometrc approach and aumng a unform
More informationi-clicker i-clicker A B C a r Work & Kinetic Energy
ork & c Energ eew of Preou Lecture New polc for workhop You are epected to prnt, read, and thnk about the workhop ateral pror to cong to cla. (Th part of the polc not new!) There wll be a prelab queton
More information1 cos. where v v sin. Range Equations: for an object that lands at the same height at which it starts. v sin 2 i. t g. and. sin g
SPH3UW Unt.5 Projectle Moton Pae 1 of 10 Note Phc Inventor Parabolc Moton curved oton n the hape of a parabola. In the drecton, the equaton of oton ha a t ter Projectle Moton the parabolc oton of an object,
More informationPOSTER PRESENTATION OF A PAPER BY: Alex Shved, Mark Logillo, Spencer Studley AAPT MEETING, JANUARY, 2002, PHILADELPHIA
POSTER PRESETATIO OF A PAPER BY: Ale Shved, Mar Logillo, Spencer Studley AAPT MEETIG, JAUARY, 00, PHILADELPHIA Daped Haronic Ocillation Uing Air a Drag Force Spencer Studley Ale Shveyd Mar Loguillo Santa
More informationIntroduction to Particle Physics I relativistic kinematics. Risto Orava Spring 2015
Introducton to Partcle Phyc I relatvtc kneatc Rto Orava Srng 05 outlne Lecture I: Orentaton Unt leentary Interacton Lecture II: Relatvtc kneatc Lecture III: Lorentz nvarant catterng cro ecton Lecture IV:
More informationCHAPTER 10 ROTATIONAL MOTION
CHAPTER 0 ROTATONAL MOTON 0. ANGULAR VELOCTY Consder argd body rotates about a fxed axs through pont O n x-y plane as shown. Any partcle at pont P n ths rgd body rotates n a crcle of radus r about O. The
More informationSCALARS AND VECTORS All physical quantities in engineering mechanics are measured using either scalars or vectors.
SCALARS AND ECTORS All phscal uanttes n engneerng mechancs are measured usng ether scalars or vectors. Scalar. A scalar s an postve or negatve phscal uantt that can be completel specfed b ts magntude.
More informationA Novel Approach for Testing Stability of 1-D Recursive Digital Filters Based on Lagrange Multipliers
Amercan Journal of Appled Scence 5 (5: 49-495, 8 ISSN 546-939 8 Scence Publcaton A Novel Approach for Tetng Stablty of -D Recurve Dgtal Flter Baed on Lagrange ultpler KRSanth, NGangatharan and Ponnavakko
More informationElectromagnetic scattering. Graduate Course Electrical Engineering (Communications) 1 st Semester, Sharif University of Technology
Electromagnetc catterng Graduate Coure Electrcal Engneerng (Communcaton) 1 t Semeter, 1390-1391 Sharf Unverty of Technology Content of lecture Lecture : Bac catterng parameter Formulaton of the problem
More informationMULTIPLE REGRESSION ANALYSIS For the Case of Two Regressors
MULTIPLE REGRESSION ANALYSIS For the Cae of Two Regreor In the followng note, leat-quare etmaton developed for multple regreon problem wth two eplanator varable, here called regreor (uch a n the Fat Food
More informationThe multivariate Gaussian probability density function for random vector X (X 1,,X ) T. diagonal term of, denoted
Appendx Proof of heorem he multvarate Gauan probablty denty functon for random vector X (X,,X ) px exp / / x x mean and varance equal to the th dagonal term of, denoted he margnal dtrbuton of X Gauan wth
More informationTwo-Layered Model of Blood Flow through Composite Stenosed Artery
Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 93-9466 Vol. 4, Iue (December 9), pp. 343 354 (Prevouly, Vol. 4, No.) Applcaton Appled Mathematc: An Internatonal Journal (AAM) Two-ayered Model
More informationChapter 1. Theory of Gravitation
Chapter 1 Theory of Gravtaton In ths chapter a theory of gravtaton n flat space-te s studed whch was consdered n several artcles by the author. Let us assue a flat space-te etrc. Denote by x the co-ordnates
More informationAP Statistics Ch 3 Examining Relationships
Introducton To tud relatonhp between varable, we mut meaure the varable on the ame group of ndvdual. If we thnk a varable ma eplan or even caue change n another varable, then the eplanator varable and
More informationThe 7 th Balkan Conference on Operational Research BACOR 05 Constanta, May 2005, Romania
The 7 th alan onerence on Oeratonal Reearch AOR 5 ontanta, May 5, Roana THE ESTIMATIO OF THE GRAPH OX DIMESIO OF A LASS OF FRATALS ALIA ÃRULESU Ovdu Unverty, ontanta, Roana Abtract Fractal denon are the
More informationClass: Life-Science Subject: Physics
Class: Lfe-Scence Subject: Physcs Frst year (6 pts): Graphc desgn of an energy exchange A partcle (B) of ass =g oves on an nclned plane of an nclned angle α = 3 relatve to the horzontal. We want to study
More informationWeek3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity
Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle
More informationUNIT 7. THE FUNDAMENTAL EQUATIONS OF HYPERSURFACE THEORY
UNIT 7. THE FUNDAMENTAL EQUATIONS OF HYPERSURFACE THEORY ================================================================================================================================================================================================================================================
More informationChapter.4 MAGNETIC CIRCUIT OF A D.C. MACHINE
Chapter.4 MAGNETIC CIRCUIT OF A D.C. MACHINE The dfferent part of the dc machne manetc crcut / pole are yoke, pole, ar ap, armature teeth and armature core. Therefore, the ampere-turn /pole to etablh the
More informationStatic Error EECS240 Spring Settling. Static Error (cont.) Step Response. Dynamic Errors. c 1 FA { V 1. Lecture 13: Settling
Statc Error EES240 Srng 200 Lecture 3: Settlng KL o c FA { T o Elad Alon Det. o EES - o /A v tatc error te wth F + + c EES240 Lecture 3 4 Settlng Why ntereted n ettlng? Ocllocoe: track nut waveor wthout
More informationWeighted Least-Squares Solutions for Energy-Based Collaborative Source Localization Using Acoustic Array
IJCSS Internatonal Journal of Computer Scence and etwork Securty, VOL.7 o., January 7 59 Weghted Leat-Square Soluton for nergy-baed Collaboratve Source Localzaton Ung Acoutc Array Kebo Deng and Zhong Lu
More informationAGC Introduction
. Introducton AGC 3 The prmary controller response to a load/generaton mbalance results n generaton adjustment so as to mantan load/generaton balance. However, due to droop, t also results n a non-zero
More informationElectrical double layer: revisit based on boundary conditions
Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer
More informationRevision: December 13, E Main Suite D Pullman, WA (509) Voice and Fax
.9.1: AC power analyss Reson: Deceber 13, 010 15 E Man Sute D Pullan, WA 99163 (509 334 6306 Voce and Fax Oerew n chapter.9.0, we ntroduced soe basc quanttes relate to delery of power usng snusodal sgnals.
More informationThe Dirac Equation for a One-electron atom. In this section we will derive the Dirac equation for a one-electron atom.
The Drac Equaton for a One-electron atom In ths secton we wll derve the Drac equaton for a one-electron atom. Accordng to Ensten the energy of a artcle wth rest mass m movng wth a velocty V s gven by E
More informationElectric and magnetic field sensor and integrator equations
Techncal Note - TN12 Electrc and magnetc feld enor and ntegrator uaton Bertrand Da, montena technology, 1728 oen, Swtzerland Table of content 1. Equaton of the derate electrc feld enor... 1 2. Integraton
More information728. Mechanical and electrical elements in reduction of vibrations
78. Mechancal and electrcal element n reducton of vbraton Katarzyna BIAŁAS The Slean Unverty of Technology, Faculty of Mechancal Engneerng Inttute of Engneerng Procee Automaton and Integrated Manufacturng
More informationHarmonic oscillator approximation
armonc ocllator approxmaton armonc ocllator approxmaton Euaton to be olved We are fndng a mnmum of the functon under the retrcton where W P, P,..., P, Q, Q,..., Q P, P,..., P, Q, Q,..., Q lnwgner functon
More informationSpectral method for fractional quadratic Riccati differential equation
Journal of Aled Matheatcs & Bonforatcs vol2 no3 212 85-97 ISSN: 1792-662 (rnt) 1792-6939 (onlne) Scenress Ltd 212 Sectral ethod for fractonal quadratc Rccat dfferental equaton Rostay 1 K Kar 2 L Gharacheh
More informationMethod Of Fundamental Solutions For Modeling Electromagnetic Wave Scattering Problems
Internatonal Workhop on MehFree Method 003 1 Method Of Fundamental Soluton For Modelng lectromagnetc Wave Scatterng Problem Der-Lang Young (1) and Jhh-We Ruan (1) Abtract: In th paper we attempt to contruct
More informationHO 40 Solutions ( ) ˆ. j, and B v. F m x 10-3 kg = i + ( 4.19 x 10 4 m/s)ˆ. (( )ˆ i + ( 4.19 x 10 4 m/s )ˆ j ) ( 1.40 T )ˆ k.
.) m.8 x -3 g, q. x -8 C, ( 3. x 5 m/)ˆ, and (.85 T)ˆ The magnetc force : F q (. x -8 C) ( 3. x 5 m/)ˆ (.85 T)ˆ F.98 x -3 N F ma ( ˆ ˆ ) (.98 x -3 N) ˆ o a HO 4 Soluton F m (.98 x -3 N)ˆ.8 x -3 g.65 m.98
More informationStatistical Properties of the OLS Coefficient Estimators. 1. Introduction
ECOOMICS 35* -- OTE 4 ECO 35* -- OTE 4 Stattcal Properte of the OLS Coeffcent Etmator Introducton We derved n ote the OLS (Ordnary Leat Square etmator ˆβ j (j, of the regreon coeffcent βj (j, n the mple
More informationOn the number of regions in an m-dimensional space cut by n hyperplanes
6 On the nuber of regons n an -densonal space cut by n hyperplanes Chungwu Ho and Seth Zeran Abstract In ths note we provde a unfor approach for the nuber of bounded regons cut by n hyperplanes n general
More informationMAE140 - Linear Circuits - Winter 16 Final, March 16, 2016
ME140 - Lnear rcuts - Wnter 16 Fnal, March 16, 2016 Instructons () The exam s open book. You may use your class notes and textbook. You may use a hand calculator wth no communcaton capabltes. () You have
More informationScattering by a perfectly conducting infinite cylinder
Scatterng by a perfectly conductng nfnte cylnder Reeber that ths s the full soluton everywhere. We are actually nterested n the scatterng n the far feld lt. We agan use the asyptotc relatonshp exp exp
More informationCHAPTER 9 LINEAR MOMENTUM, IMPULSE AND COLLISIONS
CHAPTER 9 LINEAR MOMENTUM, IMPULSE AND COLLISIONS 103 Phy 1 9.1 Lnear Momentum The prncple o energy conervaton can be ued to olve problem that are harder to olve jut ung Newton law. It ued to decrbe moton
More informationFirst Law: A body at rest remains at rest, a body in motion continues to move at constant velocity, unless acted upon by an external force.
Secton 1. Dynamcs (Newton s Laws of Moton) Two approaches: 1) Gven all the forces actng on a body, predct the subsequent (changes n) moton. 2) Gven the (changes n) moton of a body, nfer what forces act
More informationThe Feynman path integral
The Feynman path ntegral Aprl 3, 205 Hesenberg and Schrödnger pctures The Schrödnger wave functon places the tme dependence of a physcal system n the state, ψ, t, where the state s a vector n Hlbert space
More informationA particle in a state of uniform motion remain in that state of motion unless acted upon by external force.
The fundamental prncples of classcal mechancs were lad down by Galleo and Newton n the 16th and 17th centures. In 1686, Newton wrote the Prncpa where he gave us three laws of moton, one law of gravty,
More informationHEAD-TAIL MODES FOR STRONG SPACE CHARGE
roceedng of AC9 Vancouver BC Canada WE3BI HEAD-TAIL MODES FOR STRONG SACE CHARGE A Burov FNAL Batava IL 65 USA Abtract The head-tal mode are decrbed for the ace charge tune hft gnfcantly exceedng the ynchrotron
More informationPhysics 3A: Linear Momentum. Physics 3A: Linear Momentum. Physics 3A: Linear Momentum. Physics 3A: Linear Momentum
Recall that there was ore to oton than just spee A ore coplete escrpton of oton s the concept of lnear oentu: p v (8.) Beng a prouct of a scalar () an a vector (v), oentu s a vector: p v p y v y p z v
More informationProjectile Motion. Parabolic Motion curved motion in the shape of a parabola. In the y direction, the equation of motion has a t 2.
Projectle Moton Phc Inentor Parabolc Moton cured oton n the hape of a parabola. In the drecton, the equaton of oton ha a t ter Projectle Moton the parabolc oton of an object, where the horzontal coponent
More informationA Tale of Friction Student Notes
Nae: Date: Cla:.0 Bac Concept. Rotatonal Moeent Kneatc Anular Velocty Denton A Tale o Frcton Student Note t Aerae anular elocty: Intantaneou anular elocty: anle : radan t d Tanental Velocty T t Aerae tanental
More informationStatic Error EECS240 Spring Static Error (cont.) Settling. Step Response. Dynamic Errors V 1. c 1 FA. Lecture 13: Settling
Statc Error EES240 Srng 202 Lecture 3: Settlng KL o c FA T o Elad Alon Det. o EES - o /A v tatc error te F c EES240 Lecture 3 4 Settlng Why ntereted n ettlng? Ocllocoe: track nut waveor out rngng AD (wtched-ca
More informationBayesian Compressive Sensing Based on Importance Models
Senor & Tranducer 03 y IFSA http://www.enorportal.com Bayean Compreve Senng Baed on Importance odel * Qcong Wang, Shuang Wang, Wenxao Jang, Yunq Le Department of Computer Scence, Xamen Unverty, Xamen,
More informationRICCI TYPE IDENTITIES FOR BASIC DIFFERENTIATION AND CURVATURE TENSORS IN OTSUKI SPACES 1
wnov Sad J. Math. wvol., No., 00, 7-87 7 RICCI TYPE IDENTITIES FOR BASIC DIFFERENTIATION AND CURVATURE TENSORS IN OTSUKI SPACES Svetlav M. Mnčć Abtract. In the Otuk ace ue made of two non-ymmetrc affne
More informationWeek 9 Chapter 10 Section 1-5
Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,
More informationLecture 12: Discrete Laplacian
Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly
More informationCENTROID (AĞIRLIK MERKEZİ )
CENTOD (ĞLK MEKEZİ ) centrod s a geometrcal concept arsng from parallel forces. Tus, onl parallel forces possess a centrod. Centrod s tougt of as te pont were te wole wegt of a pscal od or sstem of partcles
More information1. Statement of the problem
Volue 14, 010 15 ON THE ITERATIVE SOUTION OF A SYSTEM OF DISCRETE TIMOSHENKO EQUATIONS Peradze J. and Tsklaur Z. I. Javakhshvl Tbls State Uversty,, Uversty St., Tbls 0186, Georga Georgan Techcal Uversty,
More informationCOMPLEX NUMBERS AND QUADRATIC EQUATIONS
COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not
More informationFinite Element Modelling of truss/cable structures
Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures
More informationTeam. Outline. Statistics and Art: Sampling, Response Error, Mixed Models, Missing Data, and Inference
Team Stattc and Art: Samplng, Repone Error, Mxed Model, Mng Data, and nference Ed Stanek Unverty of Maachuett- Amhert, USA 9/5/8 9/5/8 Outlne. Example: Doe-repone Model n Toxcology. ow to Predct Realzed
More informationwhere I = (n x n) diagonal identity matrix with diagonal elements = 1 and off-diagonal elements = 0; and σ 2 e = variance of (Y X).
11.4.1 Estmaton of Multple Regresson Coeffcents In multple lnear regresson, we essentally solve n equatons for the p unnown parameters. hus n must e equal to or greater than p and n practce n should e
More informationTHE SMOOTH INDENTATION OF A CYLINDRICAL INDENTOR AND ANGLE-PLY LAMINATES
THE SMOOTH INDENTATION OF A CYLINDRICAL INDENTOR AND ANGLE-PLY LAMINATES W. C. Lao Department of Cvl Engneerng, Feng Cha Unverst 00 Wen Hwa Rd, Tachung, Tawan SUMMARY: The ndentaton etween clndrcal ndentor
More informationModule 2. Random Processes. Version 2 ECE IIT, Kharagpur
Module Random Processes Lesson 6 Functons of Random Varables After readng ths lesson, ou wll learn about cdf of functon of a random varable. Formula for determnng the pdf of a random varable. Let, X be
More informationElectrical Circuits II (ECE233b)
Electrcal Crcut II (ECE33b) Applcaton of Laplace Tranform to Crcut Analy Anet Dounav The Unverty of Wetern Ontaro Faculty of Engneerng Scence Crcut Element Retance Tme Doman (t) v(t) R v(t) = R(t) Frequency
More information2.3 Least-Square regressions
.3 Leat-Square regreon Eample.10 How do chldren grow? The pattern of growth vare from chld to chld, o we can bet undertandng the general pattern b followng the average heght of a number of chldren. Here
More informationCALCULUS CLASSROOM CAPSULES
CALCULUS CLASSROOM CAPSULES SESSION S86 Dr. Sham Alfred Rartan Valley Communty College salfred@rartanval.edu 38th AMATYC Annual Conference Jacksonvlle, Florda November 8-, 202 2 Calculus Classroom Capsules
More informationVEKTORANALYS GAUSS THEOREM STOKES THEOREM. and. Kursvecka 3. Kapitel 6 7 Sidor 51 82
VEKTORANAY Kursvecka 3 GAU THEOREM and TOKE THEOREM Kaptel 6 7 dor 51 82 TARGET PROBEM Do magnetc monopoles est? EECTRIC FIED MAGNETIC FIED N +? 1 TARGET PROBEM et s consder some EECTRIC CHARGE 2 - + +
More information1.3 Hence, calculate a formula for the force required to break the bond (i.e. the maximum value of F)
EN40: Dynacs and Vbratons Hoework 4: Work, Energy and Lnear Moentu Due Frday March 6 th School of Engneerng Brown Unversty 1. The Rydberg potental s a sple odel of atoc nteractons. It specfes the potental
More informationPlease review the following statement: I certify that I have not given unauthorized aid nor have I received aid in the completion of this exam.
Please revew the followng statement: I certfy that I have not gven unauthorzed ad nor have I receved ad n the completon of ths exam. Sgnature: Instructor s Name and Secton: (Crcle Your Secton) Sectons:
More informationA Result on a Cyclic Polynomials
Gen. Math. Note, Vol. 6, No., Feruary 05, pp. 59-65 ISSN 9-78 Copyrght ICSRS Pulcaton, 05.-cr.org Avalale free onlne at http:.geman.n A Reult on a Cyclc Polynomal S.A. Wahd Department of Mathematc & Stattc
More informationProblem #1. Known: All required parameters. Schematic: Find: Depth of freezing as function of time. Strategy:
BEE 3500 013 Prelm Soluton Problem #1 Known: All requred parameter. Schematc: Fnd: Depth of freezng a functon of tme. Strategy: In thee mplfed analy for freezng tme, a wa done n cla for a lab geometry,
More information1 Review From Last Time
COS 5: Foundatons of Machne Learnng Rob Schapre Lecture #8 Scrbe: Monrul I Sharf Aprl 0, 2003 Revew Fro Last Te Last te, we were talkng about how to odel dstrbutons, and we had ths setup: Gven - exaples
More informationMOSFET Internal Capacitances
ead MOSFET Iteral aactace S&S (5ed): Sec. 4.8, 4.9, 6.4, 6.6 S&S (6ed): Sec. 9., 9.., 9.3., 9.4-9.5 The curret-voltae relatoh we have dcued thu far for the MOSFET cature the ehavor at low ad oderate frequece.
More informationIntroduction. Modeling Data. Approach. Quality of Fit. Likelihood. Probabilistic Approach
Introducton Modelng Data Gven a et of obervaton, we wh to ft a mathematcal model Model deend on adutable arameter traght lne: m + c n Polnomal: a + a + a + L+ a n Choce of model deend uon roblem Aroach
More informationSeparation Axioms of Fuzzy Bitopological Spaces
IJCSNS Internatonal Journal of Computer Scence and Network Securty VOL3 No October 3 Separaton Axom of Fuzzy Btopologcal Space Hong Wang College of Scence Southwet Unverty of Scence and Technology Manyang
More informationMomentum. Momentum. Impulse. Impulse Momentum Theorem. Deriving Impulse. v a t. Momentum and Impulse. Impulse. v t
Moentu and Iule Moentu Moentu i what Newton called the quantity of otion of an object. lo called Ma in otion The unit for oentu are: = oentu = a = elocity kg Moentu Moentu i affected by a and elocity eeding
More informationSpecial Relativity and Riemannian Geometry. Department of Mathematical Sciences
Tutoral Letter 06//018 Specal Relatvty and Reannan Geoetry APM3713 Seester Departent of Matheatcal Scences IMPORTANT INFORMATION: Ths tutoral letter contans the solutons to Assgnent 06. BAR CODE Learn
More informationConservation of Energy
Add Iportant Conervation of Energy Page: 340 Note/Cue Here NGSS Standard: HS-PS3- Conervation of Energy MA Curriculu Fraework (006):.,.,.3 AP Phyic Learning Objective: 3.E.., 3.E.., 3.E..3, 3.E..4, 4.C..,
More informationCENTROID (AĞIRLIK MERKEZİ )
CENTOD (ĞLK MEKEZİ ) centrod s a geometrcal concept arsng from parallel forces. Tus, onl parallel forces possess a centrod. Centrod s tougt of as te pont were te wole wegt of a pscal od or sstem of partcles
More information