CTLS 4 SNR. Multi Reference CTLS Method for Passive Localization of Radar Targets

Size: px
Start display at page:

Download "CTLS 4 SNR. Multi Reference CTLS Method for Passive Localization of Radar Targets"

Transcription

1 دا ند رعا ل» ی و ناوری ج ه ع ی و ی «ع وم C 4 * Donloaded from ad.r a 9: on Frda arch nd (9/06/4 : 90/05/7 : ) DOA. DOA. C DOA.. C.. C SR.. C.C DOA : ul Reference C ehod for Pave Localzaon of Radar arge H. orba Fard *, F. Hojja Kahan, Y. oruz,. Aahbar Ilamc Azad Unver Souh ehran Branch (Receved: 8/08/0; Acceped: 09/04/0) Abrac Pave arge localzaon ha man applcaon n elecronc arfare and pave defene. DOA he mo accurae mehod n arge localzaon. Follong h mehod, one of he recever agned a reference recever and me dfference of arrval beeen oher recever and reference recever meaured. he arge locaon emaed b proceng of hee DOA. he C one of DOA baed algorhm ha ha hgh accurac and need uable nalzaon. In h paper, mul reference C algorhm propoed. C algorhm accurac a mproved hen mul reference recever are condered nead of one reference recever. Smulaon reul ho ha he propoed algorhm n dfferen SR, keep mprovemen ju h lle ncreae of me proceng and beer performance compared o C algorhm ha been obaned. Keord: arge Localzaon, DOA, C. * Correpondng auhor E-mal:hamdhf@ahoo.com Pave Defence Sc. & ech. 0,, 79-85

2 9 80 Donloaded from ad.r a 9: on Frda arch nd ( ).. (... ).. ) (DOA 5 ) (RSS 4 (AOA 6 ).... (FDOA 7 ) DOA.. (CC ).[ ].. [ 4 ] A=b W..[4]. A. LC..[5] W Chan. Acve Pave 4 Receved Sgnal Srengh 5 me Dfferenal of Arrval 6 Angle of Arrval 7 Frequenc Dfferenal of Arrval.. ELI. ELI. ELI... ELI ELI. SR ELI. ELI.. ELI.. ELI ELI.. PRF. Elecronc Inellgence

3 8... C Donloaded from ad.r a 9: on Frda arch nd 09. : r = cτ = ( ) + ( ) ( ) + ( ) (). rˆ = c ˆ τ = ( ) + ( ) ( ) + ( ) + n : () (4) =,,..., (4). -. DOA.[9-4]. (4).( ) -. C. DOA.[9] C. (4) r + r = r : ( 4) ( 5) (5) ( )( ) + ( )( ) + r r = (( ) + ( ) ) + r A θ = b ( 6) : : (7).[6] LC chan..[4 7] CW..[8] b A b A.[9] (C).. C C C.. C. C DOA 4. C 5 C. 6 DOA. p=[ ] r =[ ], =,,. (τ ) ( ) + ( ) τ = c : () DOA. c.[0] DOA τ = τ τ = j ( ) + ( ) c : ( ) + ( ) c ()

4 F 9 8 Donloaded from ad.r a 9: on Frda arch nd 09 : ϑ = [ ] ϑ ϑ r = + = ϑ ϑ (8) F ( θ ) = A ϑ + A ϑ ϑ b GG = Aϑ + A ( ϑ ϑ ) b = F ( ϑ) A : (9).[A A ]=A. A F ( ϑ) A A C. ϑ = ϑ Ψ 0 α ϑ= ϑ 0 δ = F δϑ F ϑ ϑ Ψ = a ϑ= ϑ0 : (0) : () () C.4 C. C..... C +R. R R= R= (6) + ( ) () r + r r = =,,..., r r A = r (8) θ = r (9) ( ) + ( ) r ( ) ( ) b= + r ( ) ( ) r + (0) b θ A. r (7) A r θ ˆ ˆ θ = arg mn( Aθ b) ( A ˆ θ b ) ˆ θ = ( A A ) A b r : () C A r. b A b 0 A 0. b=b 0 + b A=A 0 + A : b A [ 0 0 G n] b G n (), = n=[n,n,,n ] A = A 0θ = b 0 G = -dag G =I - :. (r,r,,r ) A θ b = Aθ b = r G n G n = Gn () (4) : A θ b = Gn mn = n θ, n (5) n n= G Aθ-b A G = G GG : (6) C θ = G Aθ -b G Aθ -b ( ) = Aθ - -b GG Aθ -b = A θ -b GG Aθ -b : (7) r

5 8... C Donloaded from ad.r a 9: on Frda arch nd 09 p = r r p = H H H H H = () : (8) () (). C ϑ () C. C.5 CLL. [0 0; 5 0; 0 5; -5 0; 0-5] 5 (0,90) RS 0000 C...-5 C CRLB C () C. (). 0 0 C C C. () C. (4) : () r r ( m ) ( m ) = (4) =,,..., (5) = r : d d. r d ( ) (6) = ( ). : (7) d d. = (7) r d ( ) ( ) (7 6) : Hp = (8) d 0 d 0 d( ) 0 H = 0 d 0 d 0 d( ) p : (9) ( ) = (0) ( )

6 9 84 Donloaded from ad.r a 9: on Frda arch nd 09 C (5). C C C..-5 (6) ALAB 009a. Ram 4GB CPU Core Duo.5GHz (6) C (6) C 0 / R S E (m ) C Ce mng error() C C R S E (m ) R S E (m ) CRLB C Ce mng error() CRLB C Ce mng error() CRLB C Ce R S E (m ) mng error() 0-7 ().4

7 85... C Donloaded from ad.r a 9: on Frda arch nd 09 [6] Chan, Y..; Ho, K. C. A Smple and Effcen Emaor for Hperbolc Locaon ; IEEE ran. Sgnal Proce 994, 4, [7] So, H. C.; Hu, S. P. Conraned Locaon Algorhm Ung DOA eauremen ; IEICE ran. Fundamenal 00, 86, 9 9. [8] arkovk, I.; Huffel, S. V. Overve of oal Lea-Square ehod ; Sgnal Proce 007, 87, 8 0. [9] Yang, K.; Janpng, H. Conraned oal Lea-Square Locaon Algorhm Ung me-dfference-of-arrval eauremen ; IEEE ran. on Vehcular ech., 00, 59, [0] Poel, R. A. Elecronc Warfare arge Locaon ehod ; Boon, Arech Houe, 005. [] Abel, J. S.; Smh, J. O. he Sphercal Inerpolaon ehod for Cloed-Form Pave Source Localzaon Ung Range Dfference eauremen ; Proc. ICASSP-87, Dalla, X, [] Chan, Y..; Ho, K. C. A Smple and Effcen Emaor for Hperbolc Locaon ; IEEE ran. on Sgnal Proceng, 994, [] FOY, W. H. Poon-Locaon Soluon b alor-sere Emaon ; IEEE ran. Aeropace Elecron. S. 976,, [4] Abazoglou,. J.; endel, J..; Harada, G. A. he Conraned oal Lea Square echnque and Applcaon o Harmonc Super Reoluon ; IEEE ran. Sgnal Proce 99, 9, C.. C.7 [] Hahn, W. R.; reer, S. A. Opmum Proceng for Dela- Vecor Emaon n Pave Sgnal Arra ; IEEE ran. Inf. heor 97, 9, [] Knapp, C. H.; Carer, G. C. he Generalzed Correlaon ehod for Emaon of me Dela ; IEEE ran. Acou. Speech, Sgnal Proce 976, 4, 0 7. [] Smh, J. O.; Abel, J. S. Cloed-Form Lea-Square Source Locaon Emaon from Range-Dfference eauremen ; IEEE ran Acou Speech, Sgnal Proce 987, 5, [4] Cheung, K. W.; So, H. C.; a, W. K.; Chan, Y.. A Conraned Lea Square Approach o oble Poonng: Algorhm and Opmal ; EURASIP J. Appl. Sgnal Proce 006,. [5] Huang, Y.; Bene, J.; Elko, G. W.; erereau, R.. Real- me Pave Source Localzaon: a Praccal Lnear-Correcon Lea- Square Approach ; IEEE ran. Speech Audo Proce 00, 9,

MOLP MOLP MOLP Corresponding author,

MOLP MOLP MOLP Corresponding author, h://jnrm.rbau.ac.r پژوهشهای نوین در ریاضی دانشگاه آزاد اسالمی واحد علوم و تحقیقات * Correondng auhor, Emal: j.val@abrzu.ac.r. * تخمین x x x, c x e d.. A x B b.. A x B b, 2 2 2 A d,, e n2 cx, n A 2 mn2

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g

More information

Introduction ( Week 1-2) Course introduction A brief introduction to molecular biology A brief introduction to sequence comparison Part I: Algorithms

Introduction ( Week 1-2) Course introduction A brief introduction to molecular biology A brief introduction to sequence comparison Part I: Algorithms Course organzaon Inroducon Wee -2) Course nroducon A bref nroducon o molecular bology A bref nroducon o sequence comparson Par I: Algorhms for Sequence Analyss Wee 3-8) Chaper -3, Models and heores» Probably

More information

Efficient Estimators for Population Variance using Auxiliary Information

Efficient Estimators for Population Variance using Auxiliary Information Global Joural of Mahemacal cece: Theor ad Praccal. IN 97-3 Volume 3, Number (), pp. 39-37 Ieraoal Reearch Publcao Houe hp://www.rphoue.com Effce Emaor for Populao Varace ug Aular Iformao ubhah Kumar Yadav

More information

Online EM Algorithm for Background Subtraction

Online EM Algorithm for Background Subtraction Avalable onlne a www.cencedrec.com Proceda Engneerng 9 (0) 64 69 0 Inernaonal Workhop on Informaon and Elecronc Engneerng (IWIEE) Onlne E Algorhm for Background Subracon Peng Chen a*, Xang Chen b,bebe

More information

Robust and Accurate Cancer Classification with Gene Expression Profiling

Robust and Accurate Cancer Classification with Gene Expression Profiling Robus and Accurae Cancer Classfcaon wh Gene Expresson Proflng (Compuaonal ysems Bology, 2005) Auhor: Hafeng L, Keshu Zhang, ao Jang Oulne Background LDA (lnear dscrmnan analyss) and small sample sze problem

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

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

Cubic Bezier Homotopy Function for Solving Exponential Equations

Cubic Bezier Homotopy Function for Solving Exponential Equations Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

Fast Method for Two-dimensional Renyi s Entropy-based Thresholding

Fast Method for Two-dimensional Renyi s Entropy-based Thresholding Adlan Ym al. / Inernaonal Journal on Compuer Scence and Engneerng IJCSE Fa Mehod for Two-dmenonal Reny Enropy-baed Threholdng Adlan Ym Yohhro AGIARA 2 Tauku MIYOSI 2 Yukar AGIARA 3 Qnargul Ym Grad. School

More information

A Novel Efficient Stopping Criterion for BICM-ID System

A Novel Efficient Stopping Criterion for BICM-ID System A Novel Effcen Soppng Creron for BICM-ID Sysem Xao Yng, L Janpng Communcaon Unversy of Chna Absrac Ths paper devses a novel effcen soppng creron for b-nerleaved coded modulaon wh erave decodng (BICM-ID)

More information

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore. Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,

More information

Lecture VI Regression

Lecture VI Regression Lecure VI Regresson (Lnear Mehods for Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure VI: MLSC - Dr. Sehu Vjayakumar Lnear Regresson Model M

More information

Recent Advances in Source Localization Using Range Measurements

Recent Advances in Source Localization Using Range Measurements UCLASSIFIED Recen Advances n Source Localzaon Usng Range Measuremens Haem Hmam and Kuluyl Dogancay Cyber and Elecronc Warfare Dvson Defence Scence and Technology Group DST-Group-TR-358 ABSTRACT In hs repor

More information

Filtrage particulaire et suivi multi-pistes Carine Hue Jean-Pierre Le Cadre and Patrick Pérez

Filtrage particulaire et suivi multi-pistes Carine Hue Jean-Pierre Le Cadre and Patrick Pérez Chaînes de Markov cachées e flrage parculare 2-22 anver 2002 Flrage parculare e suv mul-pses Carne Hue Jean-Perre Le Cadre and Parck Pérez Conex Applcaons: Sgnal processng: arge rackng bearngs-onl rackng

More information

Lecture 6: Learning for Control (Generalised Linear Regression)

Lecture 6: Learning for Control (Generalised Linear Regression) Lecure 6: Learnng for Conrol (Generalsed Lnear Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure 6: RLSC - Prof. Sehu Vjayakumar Lnear Regresson

More information

ISSN MIT Publications

ISSN MIT Publications MIT Inernaonal Journal of Elecrcal and Insrumenaon Engneerng Vol. 1, No. 2, Aug 2011, pp 93-98 93 ISSN 2230-7656 MIT Publcaons A New Approach for Solvng Economc Load Dspach Problem Ansh Ahmad Dep. of Elecrcal

More information

Variants of Pegasos. December 11, 2009

Variants of Pegasos. December 11, 2009 Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on

More information

A Demand System for Input Factors when there are Technological Changes in Production

A Demand System for Input Factors when there are Technological Changes in Production A Demand Syem for Inpu Facor when here are Technologcal Change n Producon Movaon Due o (e.g.) echnologcal change here mgh no be a aonary relaonhp for he co hare of each npu facor. When emang demand yem

More information

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne

More information

Comparison of Differences between Power Means 1

Comparison of Differences between Power Means 1 In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,

More information

Lecture 11: Stereo and Surface Estimation

Lecture 11: Stereo and Surface Estimation Lecure : Sereo and Surface Emaon When camera poon have been deermned, ung rucure from moon, we would lke o compue a dene urface model of he cene. In h lecure we wll udy he o called Sereo Problem, where

More information

Optimal Filtering for Linear Discrete-Time Systems with Single Delayed Measurement

Optimal Filtering for Linear Discrete-Time Systems with Single Delayed Measurement 378 Hong-Guo Inernaonal Zhao, Journal Huan-Shu of Conrol, Zhang, Auomaon, Cheng-Hu an Zhang, Syem, an vol. Xn-Mn 6, no. Song 3, pp. 378-385, June 28 Opmal Flerng for Lnear Dcree-me Syem h Sngle Delaye

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy

More information

A DECOMPOSITION METHOD FOR SOLVING DIFFUSION EQUATIONS VIA LOCAL FRACTIONAL TIME DERIVATIVE

A DECOMPOSITION METHOD FOR SOLVING DIFFUSION EQUATIONS VIA LOCAL FRACTIONAL TIME DERIVATIVE S13 A DECOMPOSITION METHOD FOR SOLVING DIFFUSION EQUATIONS VIA LOCAL FRACTIONAL TIME DERIVATIVE by Hossen JAFARI a,b, Haleh TAJADODI c, and Sarah Jane JOHNSTON a a Deparen of Maheacal Scences, Unversy

More information

Gravity Segmentation of Human Lungs from X-ray Images for Sickness Classification

Gravity Segmentation of Human Lungs from X-ray Images for Sickness Classification Gravy Segmenaon of Human Lung from X-ray Image for Sckne Clafcaon Crag Waman and Km Le School of Informaon Scence and Engneerng Unvery of Canberra Unvery Drve, Bruce, ACT-60, Aurala Emal: crag_waman@ece.com,

More information

Structural Optimization Using Metamodels

Structural Optimization Using Metamodels Srucural Opmzaon Usng Meamodels 30 Mar. 007 Dep. o Mechancal Engneerng Dong-A Unvers Korea Kwon-Hee Lee Conens. Numercal Opmzaon. Opmzaon Usng Meamodels Impac beam desgn WB Door desgn 3. Robus Opmzaon

More information

Observer Design for Nonlinear Systems using Linear Approximations

Observer Design for Nonlinear Systems using Linear Approximations Observer Desgn for Nonlnear Ssems sng Lnear Appromaons C. Navarro Hernandez, S.P. Banks and M. Aldeen Deparmen of Aomac Conrol and Ssems Engneerng, Unvers of Sheffeld, Mappn Sree, Sheffeld S 3JD. e-mal:

More information

Here, is a finite set and. A concatenated

Here, is a finite set and. A concatenated UDC 519.157 A. Shekhovov V. Hlaváč On Paral Opmal b Aular Submodular Problem Доказаны определенные соотношения между тремя различными методами минимизации энергии. Предложено новое достаточное условие

More information

by Lauren DeDieu Advisor: George Chen

by Lauren DeDieu Advisor: George Chen b Laren DeDe Advsor: George Chen Are one of he mos powerfl mehods o nmercall solve me dependen paral dfferenal eqaons PDE wh some knd of snglar shock waves & blow-p problems. Fed nmber of mesh pons Moves

More information

A Nonlinear ILC Schemes for Nonlinear Dynamic Systems To Improve Convergence Speed

A Nonlinear ILC Schemes for Nonlinear Dynamic Systems To Improve Convergence Speed IJCSI Inernaonal Journal of Compuer Scence Iue, Vol. 9, Iue 3, No, ay ISSN (Onlne): 694-84 www.ijcsi.org 8 A Nonlnear ILC Scheme for Nonlnear Dynamc Syem o Improve Convergence Speed Hoen Babaee, Alreza

More information

Available online at ScienceDirect. Procedia CIRP 56 (2016 )

Available online at   ScienceDirect. Procedia CIRP 56 (2016 ) Avalable onlne a www.scencedrec.com ScenceDrec Proceda CIRP 56 (6 ) 8 87 9h Inernaonal Conference on Dgal Enerprse Technology- DET6 Inellgen Manufacurng n he Knowledge Economy Era Revson of bearng faul

More information

Full Exploitation of Diversity in Space-time MMSE Receivers 1

Full Exploitation of Diversity in Space-time MMSE Receivers 1 Full Exploaon of Dvery n Space-me SE Recever Joep Vdal, argara Cabrera, Adran Aguín Sgnal heory and Communcaon Deparmen, Unvera Polècnca de Caalunya Barcelona, Span {pepe,marga}@gp.c.upc.e Abrac A unfed

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

Computing Relevance, Similarity: The Vector Space Model

Computing Relevance, Similarity: The Vector Space Model Compung Relevance, Smlary: The Vecor Space Model Based on Larson and Hears s sldes a UC-Bereley hp://.sms.bereley.edu/courses/s0/f00/ aabase Managemen Sysems, R. Ramarshnan ocumen Vecors v ocumens are

More information

The Analysis of the Thickness-predictive Model Based on the SVM Xiu-ming Zhao1,a,Yan Wang2,band Zhimin Bi3,c

The Analysis of the Thickness-predictive Model Based on the SVM Xiu-ming Zhao1,a,Yan Wang2,band Zhimin Bi3,c h Naonal Conference on Elecrcal, Elecroncs and Compuer Engneerng (NCEECE The Analyss of he Thcknesspredcve Model Based on he SVM Xumng Zhao,a,Yan Wang,band Zhmn B,c School of Conrol Scence and Engneerng,

More information

CS 268: Packet Scheduling

CS 268: Packet Scheduling Pace Schedulng Decde when and wha pace o send on oupu ln - Usually mplemened a oupu nerface CS 68: Pace Schedulng flow Ion Soca March 9, 004 Classfer flow flow n Buffer managemen Scheduler soca@cs.bereley.edu

More information

A New Iterative Method for Multi-Moving Boundary Problems Based Boundary Integral Method

A New Iterative Method for Multi-Moving Boundary Problems Based Boundary Integral Method Journal of Appled Maheac and Phyc, 5, 3, 6-37 Publhed Onlne Sepeber 5 n ScRe. hp://www.crp.org/journal/jap hp://dx.do.org/.436/jap.5.394 A New Ierae Mehod for Mul-Mong Boundary Proble Baed Boundary Inegral

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

Simple Compression Algorithm for Memoryless Laplacian Source Based on the Optimal Companding Technique

Simple Compression Algorithm for Memoryless Laplacian Source Based on the Optimal Companding Technique Smple Compresson Algorhm for Memoryless Laplacan Source Based on he Opmal Compandng Technque Zoran H Perć Marko D Pekovć Mlan R Dnčć ) Faculy of Elecronc Engneerng Aleksandra Medvedeva 4 perc@elfaknacyu

More information

Simultaneous Localization of Mobile Robot and Multiple Sound Sources Using Microphone Array

Simultaneous Localization of Mobile Robot and Multiple Sound Sources Using Microphone Array Smulaneou Localzaon o Moble Robo and Mulple Sound Source Ung Mcrophone Array Jwu-Sheng Hu, Chen-Yu Chan, Cheng-Kang Wang Deparmen o Elecrcal and Conrol Engneerng aonal Chao-ung Unvery Hnchu, awan, R.O.C.

More information

A Quadratic Constraint Total Least-squares Algorithm for Hyperbolic Location

A Quadratic Constraint Total Least-squares Algorithm for Hyperbolic Location I. J. Communcaton, Network and Sytem Scence, 8,, 5-6 Publhed Onlne May 8 n ScRe (http://www.srpublhng.org/journal/jcn/). A Quadratc Contrant otal Leat-quare Algorthm for Hyperbolc Locaton Ka YANG, Janpng

More information

New Oscillation Results for Forced Second Order Differential Equations with Mixed Nonlinearities

New Oscillation Results for Forced Second Order Differential Equations with Mixed Nonlinearities Appled Maheac,, 3, 47-53 hp://dxdoorg/436/a33 Publhed Onlne February (hp://wwwscrporg/ournal/a) New Ocllaon Reul for Forced Second Order Dfferenal Equaon wh Mxed Nonlneare Ercan Tunç, Adl Kayaz Deparen

More information

Inferring Human Upper Body Motion

Inferring Human Upper Body Motion Inferrng Human Upper Body Moon Jang Gao, Janbo h Roboc Inue C arnege Mellon Unvery Abrac We preen a new algorhm for auomac nference of human upper body moon n a naural cene. The nal moon cue are fr deeced

More information

On computing differential transform of nonlinear non-autonomous functions and its applications

On computing differential transform of nonlinear non-autonomous functions and its applications On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,

More information

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen

More information

Advanced Machine Learning & Perception

Advanced Machine Learning & Perception Advanced Machne Learnng & Percepon Insrucor: Tony Jebara SVM Feaure & Kernel Selecon SVM Eensons Feaure Selecon (Flerng and Wrappng) SVM Feaure Selecon SVM Kernel Selecon SVM Eensons Classfcaon Feaure/Kernel

More information

Structural Damage Detection Using Optimal Sensor Placement Technique from Measured Acceleration during Earthquake

Structural Damage Detection Using Optimal Sensor Placement Technique from Measured Acceleration during Earthquake Cover page Tle: Auhors: Srucural Damage Deecon Usng Opmal Sensor Placemen Technque from Measured Acceleraon durng Earhquake Graduae Suden Seung-Keun Park (Presener) School of Cvl, Urban & Geosysem Engneerng

More information

Gray-dynamic EKF for Mobile Robot SLAM in Indoor Environment

Gray-dynamic EKF for Mobile Robot SLAM in Indoor Environment Gray-dynamc EKF for Moble obo SLAM n Indoor Envronmen Peng Wang, Qbn Zhang, Zongha hen Deparmen of Auomaon, Unversy of Scence and echnology of hna, Hefe, 6, hna grapesonwang@gmalcom, zqb@malusceducn, chenzh@usceducn

More information

ECE 366 Honors Section Fall 2009 Project Description

ECE 366 Honors Section Fall 2009 Project Description ECE 366 Honors Secon Fall 2009 Projec Descrpon Inroducon: Muscal genres are caegorcal labels creaed by humans o characerze dfferen ypes of musc. A muscal genre s characerzed by he common characerscs shared

More information

Methods of Improving Constitutive Equations

Methods of Improving Constitutive Equations Mehods o mprovng Consuve Equaons Maxell Model e an mprove h ne me dervaves or ne sran measures. ³ ª º «e, d» ¼ e an also hange he bas equaon lnear modaons non-lnear modaons her Consuve Approahes Smple

More information

SSRG International Journal of Thermal Engineering (SSRG-IJTE) Volume 4 Issue 1 January to April 2018

SSRG International Journal of Thermal Engineering (SSRG-IJTE) Volume 4 Issue 1 January to April 2018 SSRG Inernaonal Journal of Thermal Engneerng (SSRG-IJTE) Volume 4 Iue 1 January o Aprl 18 Opmal Conrol for a Drbued Parameer Syem wh Tme-Delay, Non-Lnear Ung he Numercal Mehod. Applcaon o One- Sded Hea

More information

Fingerprint Image Quality Classification Based on Feature Extraction

Fingerprint Image Quality Classification Based on Feature Extraction APSIPA ASC X an Fngerprn Image ual Classfcaon Based on Feaure Eracon Xuun Yang, Yang Luo, Shangd Zhang College of Informaon and Communcaon Engneerng, Harbn Engneerng Unvers, Harbn, 5 E-mal: anguun@hrbeu.edu.cn

More information

Error Analysis of Sensor Geometric Factor for the Multi-node Cooperative Localization Accuracy

Error Analysis of Sensor Geometric Factor for the Multi-node Cooperative Localization Accuracy INERNAIONAL JOURNAL OF CIRCUIS, SYSEMS AND SIGNAL PROCESSING Volume, 7 Error Analss of Sensor Geometrc Factor for the Mult-node Cooperatve Localzaton Accurac Yao Fan Abstract he localzaton accurac s ver

More information

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function MACROECONOMIC THEORY T J KEHOE ECON 87 SPRING 5 PROBLEM SET # Conder an overlappng generaon economy le ha n queon 5 on problem e n whch conumer lve for perod The uly funcon of he conumer born n perod,

More information

Feasibility Study for Reconstructing the Spatial-Temporal Structure of TIDs from High-Resolution Backscatter Ionograms

Feasibility Study for Reconstructing the Spatial-Temporal Structure of TIDs from High-Resolution Backscatter Ionograms Feasbl Su for Reconsrucng he Spaal-Temporal Srucure of TIDs from Hgh-Resoluon Backscaer Ionograms Dr. L. J. Ncksch, Dr. Serge Frman, Dr. Mark Hausman NorhWes Research Assocaes, Monere, Calforna Dr. Geoffre

More information

Some Algorithms on Cactus Graphs

Some Algorithms on Cactus Graphs Annals of Pure and Appled Mahemacs Vol, No, 01, 114-18 ISSN: 79-087X (P), 79-0888(onlne) Publshed on 4 December 01 wwwresearchmahscorg Annals of Some Algorhms on Cacus Graphs Kalyan Das Ramnagar College,

More information

Multiple Failures. Diverse Routing for Maximizing Survivability. Maximum Survivability Models. Minimum-Color (SRLG) Diverse Routing

Multiple Failures. Diverse Routing for Maximizing Survivability. Maximum Survivability Models. Minimum-Color (SRLG) Diverse Routing Mulple Falure Dvere Roung for Maxmzng Survvably One-falure aumpon n prevou work Mulple falure Hard o provde 100% proecon Maxmum urvvably Maxmum Survvably Model Mnmum-Color (SRLG) Dvere Roung Each lnk ha

More information

Volatility Interpolation

Volatility Interpolation Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local

More information

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel Inersymol nererence ISI ISI s a sgnal-dependen orm o nererence ha arses ecause o devaons n he requency response o a channel rom he deal channel. Example: Bandlmed channel Tme Doman Bandlmed channel Frequency

More information

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method 10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho

More information

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study) Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor

More information

Phone Recognition on TIMIT Database Using Mel-Frequency Cepstral Coefficients and Support Vector Machine Classifier

Phone Recognition on TIMIT Database Using Mel-Frequency Cepstral Coefficients and Support Vector Machine Classifier IJISET - Inernaonal Journal of Innovave Scence, Engneerng & Technology, Vol. Issue, January 05. www.jse.com Phone Recognon on TIMIT Daabase Usng Mel-Frequency Cepsral Coeffcens and Suppor Vecor Machne

More information

VEHICLE DYNAMIC MODELING & SIMULATION: COMPARING A FINITE- ELEMENT SOLUTION TO A MULTI-BODY DYNAMIC SOLUTION

VEHICLE DYNAMIC MODELING & SIMULATION: COMPARING A FINITE- ELEMENT SOLUTION TO A MULTI-BODY DYNAMIC SOLUTION 21 NDIA GROUND VEHICLE SYSTEMS ENGINEERING AND TECHNOLOGY SYMPOSIUM MODELING & SIMULATION, TESTING AND VALIDATION (MSTV) MINI-SYMPOSIUM AUGUST 17-19 DEARBORN, MICHIGAN VEHICLE DYNAMIC MODELING & SIMULATION:

More information

Laplace Transformation of Linear Time-Varying Systems

Laplace Transformation of Linear Time-Varying Systems Laplace Tranformaon of Lnear Tme-Varyng Syem Shervn Erfan Reearch Cenre for Inegraed Mcroelecronc Elecrcal and Compuer Engneerng Deparmen Unvery of Wndor Wndor, Onaro N9B 3P4, Canada Aug. 4, 9 Oulne of

More information

Objectives. Image R 1. Segmentation. Objects. Pixels R N. i 1 i Fall LIST 2

Objectives. Image R 1. Segmentation. Objects. Pixels R N. i 1 i Fall LIST 2 Image Segmenaon Obecves Image Pels Segmenaon R Obecs R N N R I -Fall LIS Ke Problems Feaure Sace Dsconnu and Smlar Classfer Lnear nonlnear - fuzz arallel seral -Fall LIS 3 Feaure Eracon Image Sace Feaure

More information

CHAPTER 2: Supervised Learning

CHAPTER 2: Supervised Learning HATER 2: Supervsed Learnng Learnng a lass from Eamples lass of a famly car redcon: Is car a famly car? Knowledge eracon: Wha do people epec from a famly car? Oupu: osve (+) and negave ( ) eamples Inpu

More information

Metrol. Meas. Syst., Vol. XVIII (2011), No. 2, pp METROLOGY AND MEASUREMENT SYSTEMS. Index , ISSN

Metrol. Meas. Syst., Vol. XVIII (2011), No. 2, pp METROLOGY AND MEASUREMENT SYSTEMS. Index , ISSN Metrol. Meas. Sst., Vol. XVIII (11), No., pp. 335 34 METROLOGY AND MEASUREMENT SYSTEMS Index 3393, ISSN 86-89 www.metrolog.pg.gda.pl INVESTIGATION OF THE STATISTICAL METHOD OF TIME DELAY ESTIMATION BASED

More information

Multiple Regressions and Correlation Analysis

Multiple Regressions and Correlation Analysis Mulple Regreon and Correlaon Analy Chaper 4 McGraw-Hll/Irwn Copyrgh 2 y The McGraw-Hll Compane, Inc. All rgh reerved. GOALS. Decre he relaonhp eween everal ndependen varale and a dependen varale ung mulple

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

Highway Passenger Traffic Volume Prediction of Cubic Exponential Smoothing Model Based on Grey System Theory

Highway Passenger Traffic Volume Prediction of Cubic Exponential Smoothing Model Based on Grey System Theory Inernaonal Conference on on Sof Compung n Informaon Communcaon echnology (SCIC 04) Hghway Passenger raffc Volume Predcon of Cubc Exponenal Smoohng Model Based on Grey Sysem heory Wenwen Lu, Yong Qn, Honghu

More information

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling Vplav Kumar gh Rajeh gh Deparme of ac Baara Hdu Uver Varaa-00 Ida Flore maradache Uver of ew Meco Gallup UA ome Improved Emaor for Populao Varace Ug Two Aular Varable Double amplg Publhed : Rajeh gh Flore

More information

A Root-MUSIC-Like Direction Finding Method for Cyclostationary Signals

A Root-MUSIC-Like Direction Finding Method for Cyclostationary Signals EURASIP Journal on Applied Signal Processing 25:1, 69 73 c 25 Hindawi Publishing Corporation A Root-MUSIC-Like Direction Finding Method for Cyclostationary Signals Pascal Chargé LESIA, DGEI, INSA Toulouse,

More information

Preamble-Assisted Channel Estimation in OFDM-based Wireless Systems

Preamble-Assisted Channel Estimation in OFDM-based Wireless Systems reamble-asssed Channel Esmaon n OFDM-based reless Sysems Cheong-Hwan Km, Dae-Seung Ban Yong-Hwan Lee School of Elecrcal Engneerng INMC Seoul Naonal Unversy Kwanak. O. Box 34, Seoul, 5-600 Korea e-mal:

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

Lesson 2 Transmission Lines Fundamentals

Lesson 2 Transmission Lines Fundamentals Lesson Transmsson Lnes Funamenals 楊尚達 Shang-Da Yang Insue of Phooncs Technologes Deparmen of Elecrcal Engneerng Naonal Tsng Hua Unersy Tawan Sec. -1 Inroucon 1. Why o scuss TX lnes srbue crcus?. Crera

More information

Stochastic Maxwell Equations in Photonic Crystal Modeling and Simulations

Stochastic Maxwell Equations in Photonic Crystal Modeling and Simulations Sochasc Maxwell Equaons n Phoonc Crsal Modelng and Smulaons Hao-Mn Zhou School of Mah Georga Insue of Technolog Jon work wh: Al Adb ECE Majd Bade ECE Shu-Nee Chow Mah IPAM UCLA Aprl 14-18 2008 Parall suppored

More information

THE method of moment (MOM) is widely used to extract. Fast Green Function Evaluation for Method of Moment. arxiv: v1 [cs.

THE method of moment (MOM) is widely used to extract. Fast Green Function Evaluation for Method of Moment. arxiv: v1 [cs. 1 Fas Green Funcon Evaluaon for Mehod of Momen Shunchuan Yang, Member, IEEE, Dongln Su, Member, IEEE arxv:1901.04162v1 [cs.ce] 14 Jan 2019 Absrac In hs leer, an approach o accelerae he marx fllng n mehod

More information

Planar truss bridge optimization by dynamic programming and linear programming

Planar truss bridge optimization by dynamic programming and linear programming IABSE-JSCE Jon Conference on Advances n Brdge Engneerng-III, Augus 1-, 015, Dhaka, Bangladesh. ISBN: 978-984-33-9313-5 Amn, Oku, Bhuyan, Ueda (eds.) www.abse-bd.org Planar russ brdge opmzaon by dynamc

More information

Robust Convex Approximation Methods for TDOA-Based Localization under NLOS Conditions

Robust Convex Approximation Methods for TDOA-Based Localization under NLOS Conditions Robust Convex Approximation Methods for TDOA-Based Localization under NLOS Conditions Anthony Man-Cho So Department of Systems Engineering & Engineering Management The Chinese University of Hong Kong (CUHK)

More information

L N O Q. l q l q. I. A General Case. l q RANDOM LAGRANGE MULTIPLIERS AND TRANSVERSALITY. Econ. 511b Spring 1998 C. Sims

L N O Q. l q l q. I. A General Case. l q RANDOM LAGRANGE MULTIPLIERS AND TRANSVERSALITY. Econ. 511b Spring 1998 C. Sims Econ. 511b Sprng 1998 C. Sm RAD AGRAGE UPERS AD RASVERSAY agrange mulpler mehod are andard fare n elemenary calculu coure, and hey play a cenral role n economc applcaon of calculu becaue hey ofen urn ou

More information

PDF !" ( 3 ) Word # $ %& '( ) ( *

PDF  ! ( 3 ) Word  # $ %& '( ) ( * PDF ( 3 ) CD Word 5 12 Times new roman ---- ). ( 308 85-86. ( ) ( MSTATC ). 10 8 6 ( ).. %1 6. 12 2 lotus : ( B ) :. 15 250 300 ( ) 3-5 :.... 14 2 lotus 2 lotus 14 12 Times New Roman 24 : 1.2 : 3 5 1 2

More information

APOC #232 Capacity Planning for Fault-Tolerant All-Optical Network

APOC #232 Capacity Planning for Fault-Tolerant All-Optical Network APOC #232 Capacy Plannng for Faul-Toleran All-Opcal Nework Mchael Kwok-Shng Ho and Kwok-wa Cheung Deparmen of Informaon ngneerng The Chnese Unversy of Hong Kong Shan, N.T., Hong Kong SAR, Chna -mal: kwcheung@e.cuhk.edu.hk

More information

st semester. Kei Sakaguchi. ee ac May. 10, 2011

st semester. Kei Sakaguchi. ee ac May. 10, 2011 0 s semeser IO Communcaon Sysems #4: Array Sgnal Processng Ke Sakaguc ee ac ay. 0, 0 Scedule s alf Dae Tex Conens # Apr. A-, B- Inroducon # Apr. 9 B-5, B-6 Fundamenals of wreless

More information

Cooling of a hot metal forging. , dt dt

Cooling of a hot metal forging. , dt dt Tranen Conducon Uneady Analy - Lumped Thermal Capacy Model Performed when; Hea ranfer whn a yem produced a unform emperaure drbuon n he yem (mall emperaure graden). The emperaure change whn he yem condered

More information

Lecture 12: HEMT AC Properties

Lecture 12: HEMT AC Properties Lecure : HEMT A Proeres Quas-sac oeraon Transcaacances -araeers Non-quas ac effecs Parasc ressances / caacancs f f ax ean ue for aer 6: 7-86 95-407 {407-46 sk MEFET ars} 47-44. (.e. sk an MEFET ars brefl

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

Theoretical Analysis of Biogeography Based Optimization Aijun ZHU1,2,3 a, Cong HU1,3, Chuanpei XU1,3, Zhi Li1,3

Theoretical Analysis of Biogeography Based Optimization Aijun ZHU1,2,3 a, Cong HU1,3, Chuanpei XU1,3, Zhi Li1,3 6h Inernaonal Conference on Machnery, Maerals, Envronmen, Boechnology and Compuer (MMEBC 6) Theorecal Analyss of Bogeography Based Opmzaon Aun ZU,,3 a, Cong U,3, Chuanpe XU,3, Zh L,3 School of Elecronc

More information

Hybrid of Chaos Optimization and Baum-Welch Algorithms for HMM Training in Continuous Speech Recognition

Hybrid of Chaos Optimization and Baum-Welch Algorithms for HMM Training in Continuous Speech Recognition Inernaonal Conference on Inellgen Conrol and Informaon Processng Augus 3-5, - Dalan, Chna Hybrd of Chaos Opmzaon and Baum-Welch Algorhms for HMM ranng n Connuous Speech Recognon Somayeh Cheshom, Saeed

More information

Nonparametric Boxed Belief Propagation for Localization in Wireless Sensor Networks

Nonparametric Boxed Belief Propagation for Localization in Wireless Sensor Networks Nonparamerc Boxed Belef Propagaon for Localzaon n Wreless Sensor Neworks Vladmr Savc and Sanago Zazo Pos Prn N.B.: When cng hs work, ce he orgnal arcle. 29 IEEE. Personal use of hs maeral s permed. However,

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

Chapter 2. Panoramic Vision for Landmark Recognition

Chapter 2. Panoramic Vision for Landmark Recognition Chaper. Panoramc Von for Landmark Recognon Abrac Th chaper preen a emac approach for auomacall conrucng a 3D panoramc model of a naural cene from a vdeo equence for landmark localzaon of a moble robo n

More information

Introduction to Boosting

Introduction to Boosting Inroducon o Boosng Cynha Rudn PACM, Prnceon Unversy Advsors Ingrd Daubeches and Rober Schapre Say you have a daabase of news arcles, +, +, -, -, +, +, -, -, +, +, -, -, +, +, -, + where arcles are labeled

More information

DOAEstimationforCoherentSourcesinBeamspace UsingSpatialSmoothing

DOAEstimationforCoherentSourcesinBeamspace UsingSpatialSmoothing DOAEstmatonorCoherentSouresneamspae UsngSpatalSmoothng YnYang,ChunruWan,ChaoSun,QngWang ShooloEletralandEletronEngneerng NanangehnologalUnverst,Sngapore,639798 InsttuteoAoustEngneerng NorthwesternPoltehnalUnverst,X

More information

Clustering (Bishop ch 9)

Clustering (Bishop ch 9) Cluserng (Bshop ch 9) Reference: Daa Mnng by Margare Dunham (a slde source) 1 Cluserng Cluserng s unsupervsed learnng, here are no class labels Wan o fnd groups of smlar nsances Ofen use a dsance measure

More information

Optimal Adjustment Algorithm for p Coordinates and the Starting Point in Interior Point Methods

Optimal Adjustment Algorithm for p Coordinates and the Starting Point in Interior Point Methods Amercan Journal of Operaon Reearch 9- do:.436/aor..4 Publhed Onlne December (hp://www.scrp.org/ournal/aor) 9 Opmal Adumen Algorhm for p Coordnae and he Sarng Pon n Ineror Pon Mehod Abrac Carla T. L. S.

More information

Distributed Control for the Parallel DC Linked Modular Shunt Active Power Filters under Distorted Utility Voltage Condition

Distributed Control for the Parallel DC Linked Modular Shunt Active Power Filters under Distorted Utility Voltage Condition Dtrbted Control for the Parallel DC Lnked Modlar Shnt Actve Power Flter nder Dtorted Utlty Voltage Condton Reearch Stdent: Adl Salman Spervor: Dr. Malabka Ba School of Electrcal and Electronc Engneerng

More information

Pen Tip Position Estimation Using Least Square Sphere Fitting for Customized Attachments of Haptic Device

Pen Tip Position Estimation Using Least Square Sphere Fitting for Customized Attachments of Haptic Device for Cuomed Ahmen of Hp Deve Mno KOEDA nd Mhko KAO Deprmen of Compuer Sene Ful of Informon Sene nd Ar Ok Elero-Communon Unver Kok 30-70, Shjonwe, Ok, 575-0063, JAPA {koed, 0809@oeu.jp} Ar In h pper, mehod

More information