on Acoustics, Speech, and Signal Processing
Transcript of on Acoustics, Speech, and Signal Processing
2003 IEEE International
Conference on Acoustics, Speech,and Signal Processing
Proceedings
Volume VI of VI
Signal Processing Theory and Methods
April 6-10, 2003
Hong Kong Exhibition and Convention Centre
Hong Kong
Sponsored by
The Institute of Electrical and Electronics Engineers
Signal Processing Society
UB/TIB Hannover 89
124 953 530
MMEDIA-P2.10: CORRELATIVE EXPLORATION OF EEG SIGNALS FORDIRECT V - 816
BRAIN-COMPUTER COMMUNICATION
Gary Garcia, Touradj Ebrahimi, Jean-Marc Vesin, Swiss Federal Institute of Technology (EPFL), Switzerland
MMEDIA-P2.il: A SEMANTIC NETWORK MODELING FORUNDERSTANDING BASEBALL V - 820
VIDEO
Huang-Chia Shih, Chung-Lin Huang, National Tsing-Hua University, Taiwan
Volume VI
SPTM-L1: FILTER DESIGN
SPTM-Ll.l: OPTIMAL FIR FILTERS WITH ALMOST LINEAR PHASE VI -1
Daniel Seidner, Creo IL Ltd, Israel
SPTM-L1.2: A DESIGN METHOD OF MINIMUM PHASE FIR FILTERS WITH COMPLEX VI - 5
COEFFICIENTS
Yasunori Sugita, Naoyuki Aikawa, Nihon University, Japan
SPTM-L1.3: AWEIGHTED L_2 BASED METHOD FOR THE DESIGN OF ARBITRARY VI-9
ONE DIMENSIONAL FIR DIGITAL FILTERS
Emmanouil Psarakis, University ofPatras, Greece
SPTM-L1.4: DESIGN OF ROBUST IIR MAGNITUDE FILTERS VIA SEMIDEFINITE VI -13
PROGRAMMING
Yonghong Liu, Zhi-Quan Luo, McMaster University, Canada
SPTM-L1.5: LINEAR PHASE EQUIRIPPLE nR DIGITAL FILTER DESIGN VI -17
H. K. Kwan, University of Windsor, Canada
SPTM-L1.6: EQUIVALENCE BETWEEN THE EXTENDEDWINDOW DESIGN OF IIR VI - 21
FILTERS AND LEAST SQUARES FREQUENCY DOMAINDESIGNS
Grigore Braileanu, Gonzaga University, United States
SPTM-L2: SYSTEM MODELING AND REPRESENTATION
SPTM-L2.1: RATE-LIMITED EAFRP: A NEW IMPROVED MODEL FORHIGH-SPEED VI - 25
NETWORK TRAFFIC
Jie Yu, Athina Petropulu, Harish Sethu, Drexel University, United States
SPTM-L2.2: A DIFFERENTIAL ENTROPY BASED METHOD FOR DETERMINING THE VI - 29
OPTIMAL EMBEDDING PARAMETERS OF A SIGNAL
Temujin Gautama, Katholieke Universiteit Leuven, Belgium; Danilo Mandic, Imperial College ofScience, Technology and
Medicine, United Kingdom; Marc Van Hulle, Katholieke Universiteit Leuven, Belgium
SPTM-L2.3: BAYESIAN NETWORK LOSS INFERENCE VI - 33
Dong Guo, Xiaodong Wang, Columbia University, United States
SPTM-L2.4: THE IMPACT OF THEFLOWARRIVAL PROCESS IN INTERNET TRAFFIC VI - 37
Nicolas Hohn, Darryl Veitch, University ofMelbourne, Australia; Patrice Abry, Ecole Normale Superieure deLyon, France
SPTM-L2.5: MODELING CELLULAR SIGNAL PROCESSING USING INTERACTING VI - 41
MARKOV CHAINS
Maya R. Said, Alan V. Oppenheim, Douglas A. Lauffenburger, Massachusetts Institute ofTechnology, United States
SPTM-L2.6: CHARACTERIZATION OF A SET OF INVERTD3LELPTVFILTERS USING VI - 45
CIRCULANT MATRICES
Wilfried Chauvet, Bernard Lacaze, Daniel Roviras, ENSEEIHT/IRIT/TESA, France; Alban Duverdier, CNES, France
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SPTM-L3: TRACKING AND STATE ESTIMATION
SPTM-L3.1: MANEUVERING TARGETDETECTION IN OVER-THE-HORIZON RADARBY VI - 49
USING ADAPTIVE CHIRPLET TRANSFORM AND SUBSPACE CLUTTER REJECTION
GenyuanWang, University ofDelware, United States; Xiang-GenXia, University ofDelaware, United States; BenjaminRoot, Victor Chen, Naval Research Laboratory, United States; Yimin Zhang, Villanova University, United States; Moeness
Amin, Villanova University, United States
SPTM-L3.2: A DUAL ADAPTIVE MODELESTIMATOR FOR TARGET TRACKING VI - 53
Chi Li, T. Tao, Xiaohui Dai, Hong Kong Polytechnic University, China
SPTM-L3.3: KALMAN FILTERING USING PAIRWISE GAUSSIAN MODELS VI - 57
Wojciech Pieczynski, Frangois Desbouvries, Institut National des Telecommunications, France
SPTM-L3.4: A NOTE ON STATE ESTIMATION AS A CONVEX OPTIMIZATION PROBLEM VI - 61
Thomas Schon, Fredrik Gustafsson, Anders Hansson, Linkoping University, Sweden
SPTM-L3.5: PARTICLE FILTERING AND CRAMER-RAO LOWERBOUND FOR VI - 65
UNDERWATER NAVIGATION
Rickard Karlsson, Fredrik Gustafsson, Linkoping University, Sweden; Tobias Karlsson, Saab Bofors Underwater Systems,Sweden
SPTM-L3.6: ONLINE EXPECTATION-MAXIMIZATION TYPE ALGORITHMS FOR VI - 69
PARAMETERESTIMATION IN GENERAL STATE SPACE MODELS
Christophe Andrieu, Bristol University, United Kingdom; Arnaud Doucet, University of Cambridge, United Kingdom
SPTM-L4: LMS-BASED ADAPTIVE FILTERING
SPTM-L4.1: A ROBUST LMS-BASED FOURIER ANALYZER CAPABLE OF VI - 73
ACCOMMODATING THE FREQUENCY MISMATCH
Yegui Xiao, Rabab Ward, Liying Ma, University ofBritish Columbia, Canada; LiXu, Akita Prefectural University, Japan
SPTM-L4.2: AN EFFICIENT BLOCKFLOATING POINT IMPLEMENTATION OF THE LMS VI - 77
ALGORITHM
Mrityunjoy Chakraborty, Abhijit Mitra, Indian Institute ofTechnology, India; Hideaki Sakai, Kyoto University, Japan
SPTM-L4.3: SIMPLIFIED LMS ALGORITHMS IN THE CASE OF NON-UNIFORMLY VI - 81
SAMPLED SIGNALS
Elisabeth Lahalle, Ecole Superieure d'Electricite, France; Pablo Faus Perez, Universidad Politecnica de Valencia, Spain;Gilles Fleury, Ecole Superieure dElectriciti, France
SPTM-L4.4: A GRADIENT ADAPTIVE STEP SIZE ALGORITHM FOR IIR FILTERS VI - 85
Christos Boukis, Danilo Mandic, Eftychios Papoulis, Anthony Constantinides, Imperial College, United Kingdom
SPTM-L4.5: A JUSTIFICATION FOR THE IMPROVED PERFORMANCE OF THE VI - 89
MULTI-SPLIT LMS ALGORITHM
Richard Demo Souza, Leonardo Silva Resende, GPqCOM - EEL - UFSC, Brazil; Maurice GerardBellanger, CNAM,
France
SPTM-L4.6: CONSTANTMODULUSPERFORMANCE SEARCH USING LMS METHOD VI - 93
Hamadi Jamali, Tokunbo Ogunfunmi, Santa Clara University, United States
SPTM-L5: APPLICATIONS OF MULTIRATE SIGNAL PROCESSING
SPTM-L5.1: INTERSCALE IMAGE DENOISING WITH WAVELET CONTEXTMODELING VI - 97
Lei Zhang, Hong Kong Polytechnic University, Hong Kong SAR of China; Paul Bao, Chinese University ofHong Kong,
Hong Kong SAR of China; David Zhang, Hong Kong Polytechnic University, Hong Kong SAR of China
SPTM-L5.2: WAVELET-KALMAN METHOD FORIMAGE COMPRESSION VI -101
Afshin David, University ofTurku, Finland
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SPTM-L5.3: OPTIMAL BIT-RATE ALLOCATIONAND SYNTHESIS FILTER BANKDESIGN VI -105
FOR MULTIRATE SUBBAND CODING SYSTEMS
Huan Zhou, Lihua Xie, Cishen Zhang, Nanyang Technological University, Singapore
SPTM-L5.4: LEAST SQUARES DESIGN OFNONUNIFORMFILTER BANKS WITH VI -109
EVALUATIONIN SPEECH ENHANCEMENT
Jan Mark de Haan, Ingvar Claesson, Blekinge Institute of Technology, Sweden; Harald Gustafsson, Ericsson Mobile
Platforms, Sweden
SPTM-L5.5: TIME DELAY ESTIMATION AND SIGNAL RECONSTRUCTION USING VI -113
MULTI-RATE MEASUREMENTS
OmidJahromi, ParhamAarabi, University of Toronto, Canada
SPTM-L5.6: FACE RECOGNITION USING DISCRETE WAVELET GRAPH VI -117
Kun Ma, Xiaoou Tang, Chinese University ofHong Kong, Hong Kong SAR of China
SPTM-L6: TIME-VARYING SPECTRAL ESTIMATION
SPTM-L6.1: INSTANTANEOUS FREQUENCY ESTIMATION BY USING WIGNER VI -121
DISTRIBUTION AND VITERBI ALGORITHM
Uubisa Stankovic, Igor Djurovic, University ofMontenegro, Yugoslavia; Akira Ohsumi, Hiroshi Ijima, Kyoto Institute of
Technology, Japan
SPTM-L6.2: TIME-FREQUENCY-AUTOREGRESSIVE RANDOM PROCESSES: MODELING VI -125
ANDFASTPARAMETER ESTIMATION
Michael Jachan, Gerald Matz, Franz Hlawatsch, Vienna University ofTechnology, Austria
SPTM-L6.3: SIMULTANEOUS DETECTION AND PARAMETER ESTIMATION OF VI -129
MULTIPLE LINEAR CHIRPS
Jasdeep Dhanoa, Evan Hughes, Richard Ormondroyd, Cranfield University, United Kingdom
SPTM-L6.4: SINUSOIDAL MODELING BASED ON INSTANTANEOUS FREQUENCY VI -133
ATTRACTORS
Toshihiko Abe, Masaaki Honda, NTT Corporation, Japan
SPTM-L6.5: ESTIMATION OF DAMPED & DELAYED SINUSOIDS : ALGORITHM AND VI -137
CRAMER-RAO BOUND
Remy Boyer, ENST, France; Karim Abed-Meraim, ENST, France
SPTM-L6.6: INSTANTANEOUS FREQUENCY ESTIMATION USING LEVEL-CROSSING VI -141
INFORMATION
Seelamantula Chandrasekhar, Thippur V Sreenivas, Indian Institute ofScience, India
SPTM-L7: CLASSIFICATION AND SEGMENTATION
SPTM-L7.1: A SMALL SAMPLE MODEL SELECTION CRITERION BASED ON VI -145
KULLBACK'S SYMMETRIC DIVERGENCE
Abd-Krim Seghouane, Maiza Bekara, Gilles Fleury, SUPELEC, France
SPTM-L7.2: KERNEL SECOND-ORDERDISCRIMINANTS VERSUS SUPPORT VECTOR VI -149
MACHINES
Fahed Abdallah, Cedric Richard, Rigis Lengelle, Troyes University ofTechnology, France
SPTM-L7.3: CORT: CLASSIFICATION OR REGRESSIONTREES VI -153
Clayton Scott, Rebecca Willett, Robert Nowak, Rice University, United States
SPTM-L7.4: A GENERAL SOLUTION TO THE MAXIMIZATION OF THE VI -157
MULTIDIMENSIONAL GENERALIZED RAYLEIGH QUOTIENT USED IN LINEAR
DISCRIMINANT ANALYISIS FOR SIGNAL CLASSIFICATION
Ramon Prieto, Stanford University, United States
SPTM-L7.5: STRUCTURAL RISK MINIMIZATION USING NEAREST NEIGHBORRULE VI -161
Abdessamad Ben Hamza, Hamid Krim, Bilge Karacali, North Carolina State University, United States
Ixxxviii
SPTM-L7.6: HIERARCHICAL BAYESIAN SEGMENTATION OF SIGNALS CORRUPTED BY VI -165
MULTIPLICATIVE NOISE
Jean-Yves Toumeret, ENSEEIHT/IRIT, France; S. Suparman, University Paul Sabatier, France; Michel Doisy,ENSEEIHT/IRIT, France
SPTM-L8: DENOISING
SPTM-L8.1: RECONSTRUCTION OF BANDLIMITED SIGNALS FROM NOISY DATA BY VI -169
THRESHOLDING
Vu-Luu Nguyen, Mirek Pawlak, University ofManitoba, Canada
SPTM-L8.2: DENOISING IN THELAPPED TRANSFORM DOMAIN VI -173
Seungjoon Yang, Samsung Electronics Co., Ltd., Republic ofKorea; Truong Q. Nguyen, University of California, San
Diego, United States
SPTM-L8.3: BAYESIAN MULTIFRACTAL SIGNAL DENOISING VI -177
Jacques Levy-Vehel, INRIA, France; Pierrick Legrand, IRCCyN/LCPC, France
SPTM-L8.4: TIME SCALE MODIFICATION OFNOISES USING ASPECTRAL AND VI -181
STATISTICAL MODEL
Pierre Hanna, Myriam Desainte-Catherine, Universite de Bordeaux I, France
SPTM-L8.5: NOISE VARIANCE IN SIGNAL DENOISING VI -185
Soosan Beheshti, Munther Dahleh, Massachusetts Institute of Technology, United States
SPTM-L8.6: DENOISING OF SEISMIC SIGNALS WITH OVERSAMPLED FILTER BANKS VI -189
Laurent Duval, Institut Francais du Petrole, France; Toshihisa Tanaka, Brain Science Institute, RIKEN, Japan
SPTM-P1: APPLICATIONS OF ADAPTIVE FILTERING
SPTM-Pl.l: A PILOTED ADAPTIVE NOTCH FILTER VI -193
Yong Ching Lim, National University ofSingapore, Singapore; Yuexian Zou, Singapore Polytechnic, Singapore; N. Zheng,National University ofSingapore, Singapore
SPTM-P1.2: ECHO CANCELLATIONBY GLOBAL OPTIMIZATION OFKAUTZ FILTERS VI -197
USING ANINFORMATION THEORETIC CRITERION
Ching-An Lai, Deniz Erdogmus, Jose C. Principe, University ofFlorida, United States
SPTM-P1.3: ADAPTIVE FREQUENCY ESTIMATION BASED ON NORMAL REALIZATIONS VI - 201
AND ITS APPLICATION IN SPEECHPROCESSING
Jiong Zhou, Gang Li, Nanyang Technological University, Singapore
SPTM-P1.4: PERFORMANCE EVALUATION OF AN AUTOMATIC SPEECH RECOGNISER VI - 205
INCORPORATING A FAST ADAPTIVE SPEECH SEPARATIONALGORITHM
Kutluyil Dogancay, University ofSouth Australia, Australia; Jason Littlefield, Ahmad Hashemi-Sakhtsari, Defence Science
and Technology Organisation, Australia
SPTM-P1.5: AFFINE PROJECTION ALGORITHM FOR OVERSAMPLED SUBBAND VI - 209
ADAPTIVE FILTERS
Hamid Reza Abutalebi, Amirkabir University of Technology, Iran; Hamid Sheikhzadeh, Robert Brennan, Dspfactory Ltd.,
Canada; George Freeman, University of Waterloo, Canada
SPTM-P1.6: ADAPTIVE ACTIVE NOISE CONTROLWITHOUT SECONDARY PATH VI - 213
IDENTIFICATION
Akira Sano, Yuhsuke Ohta, Keio University, Japan
SPTM-P1.7: COMPARATIVE STUDY OF TECHNIQUES TO COMPUTE FIR FILTER VI - 217
WEIGHTS IN ADAPTIVE CHANNEL EQUALIZATION
Christian Vincent Sinn, Jiirgen Gotze, University ofDortmund, Germany
SPTM-P1.8: A GRADIENT ALGORITHM FOR PHASE-ONLYADAPTIVE FIR FILTERING VI - 221
John D. Norris, Scott C Douglas, Southern Methodist University, United States
Ixxxix
SPTM-P1.9: INTERFERENCE SUPPRESSION WITHMINIMAL SIGNAL DISTORTION VI - 225
A. A. (Louis) Beex, Virginia Tech, United States; James R. Zeidler, SPAWAR Systems Center, United States
SPTM-P1.10: ADAPTIVE ESPRIT ALGORITHM BASED ONTHE PAST SUBSPACE TRACKER VI - 229
Roland Badeau, Gael Richard, Bertrand David, Ecole Nationale Superieure des Telecommunications, France
SPTM-P1.11: EFFICIENT IMPLEMENTATION OF ECHO CANCELLER FOR APPLICATIONS VI - 233
WITH ASYMMETRIC RATES
Alper Erdogan, Koc University, Turkey; Bijit Haider, Telicos Corp., United States; Tzu-Hsien Sang, National Chiao Tung
University, Taiwan; Ahmet Karakas, Stanford University, United States
SPTM-P2: SAMPLING, EXTRAPOLATION AND INTERPOLATION
SPTM-P2.1: LINEAR PHASE LAGRANGE INTERPOLATIONFILTER USING ODD NUMBER VI - 237
OF BASEPOINTS
Zhuan Ye, Motorola Labs, United States
SPTM-P2.2: RECOVERY OF DIGITIZED SIGNALS USING SLEPIAN FUNCTIONS VI - 241
Gilbert G. Walter, University ofWisconsin, United States; Xiaoping Shen, Ohio University, United States
SPTM-P2.3: ANFM DEMODULATION ALGORITHM WITH AN UNDERSAMPLING RATE VI - 245
Yiyuan Xiong, Yi Huang, Jason Ralph, Waleed Al-Nuaimy, Pu Sun, University ofLiverpool, United Kingdom
SPTM-P2.4: SUPER-RESOLUTION OF INTERLEAVED SAMPLED SIGNALS VI - 249
Derek Justice, Joel Trussell, Robert Hartwig, North Carolina State University, United States
SPTM-P2.5: QUANTITATIVE NOISE ANALYSIS OF JITTER-INDUCED NONUNIFORMLY VI - 253
SAMPLED-AND-HELD SIGNALS
Sai-Weng Sin, Seng-Pan U., Rui Paulo Martins, University ofMacau, Macao SAR of China
SPTM-P2.6: OPTIMALSAMPLING FUNCTIONS IN NONUNIFORM SAMPLING DRIVER VI - 257
DESIGNS TO OVERCOME THE NYQUIST LIMIT
Frank PapenfufJ, University ofRostock, Germany; Y. Artyukh, E. Boole, Institute ofElectronics & Computer Science,
Latvia; D. Timmermann, University ofRostock, Germany
SPTM-P2.7: INTERPOLATION OF SIGNALS BY GENERALIZED PIECEWISE-LINEAR VI - 261
MULTIPLE GENERATORS
Koichi lchige, Yokohama National University, Japan; Thierry Blu, Michael Unser, Swiss Federal Institute ofTechnology
(EPFL), Switzerland
SPTM-P2.8: DESIGN OF NARROWBAND FIR FILTERS WITH MINIMAL NOISE GAIN VI - 265
USING COMPLEXINTERPOLATION
Konsta Koppinen, Tampere University ofTechnology, Finland
SPTM-P2.9: KERNEL WITHBLOCKSTRACTUREFOR SAMPLING RATE CONVERTER VI - 269
Naoyuki Aikawa, Nihon University, Japan; Yukio Mori, Salesian Polytechnic, Japan
SPTM-P2.10: IMAGE ENLARGEMENTUSING FRACTAL VI - 273
King-Hong Chung, Yik-hing Fung, Yuk-Hee Chan, Hong Kong Polytechnic University, Hong Kong SAR of China
SPTM-P2.il: ANALYSIS OF MISMATCHNOISE IN RANDOMLY INTERLEAVED ADC VI - 277
SYSTEM
Jonas Elbornsson, Fredrik Gustafsson, Linkoping University, Sweden; Jan-Erik Eklund, Infineon Technologies, Sweden
SPTM-P2.12: ONTHEDESIGN OF VARIABLE FRACTIONAL DELAY FILTERS WITH VI - 281
LAGUERREAND KAUTZ FILTERS
Greg Cook, Yee Hong Leung, Curtin University ofTechnology, Australia; Yanqun Liu, Hong Kong Polytechnic University,
Hong Kong SAR of China
SPTM-P3: SYSTEM IDENTIFICATION AND SPECTRUM ESTIMATION
SPTM-P3.1: ON THE STABILITY OF CONSTRAINED LINEARPREDICTIVE MODELS VI - 285
Tom Backstrom, Paavo Alku, Helsinki University ofTechnology, Finland
xc
SPTM-P3.2: WAVELETESTIMATION OFCYCLOSPECTRA VI - 289
Sami Touati, Jean-Christophe Pesquet, Universite de Marne la Vallee, France
SPTM-P3.3: BLIND ESTIMATION OF BANDLIMITED CHANNELS: A LOW COMPLEXITY VI - 293
APPROACH
Sarod Yatawatta, Athina Petropulu, Riddhi Dadttani, Drexel University, United States
SPTM-P3.4: TIME FREQUENCY ANALYSIS AND PARAMETRIC APPROXIMATION OF VI - 297
ROOM IMPULSE RESPONSES
John Sarris, George Cambourakis, National Technical University ofAthens, Greece
SPTM-P3.5: SIGNALS IN COLOURED NOISE: JOINT NON-PARAMETRIC ESTIMATION OF VI - 301
SIGNAL AND OF NOISE SPECTRUM
Victor Solo, University ofNew South Wales, Australia
SPTM-P3.6: ESTIMATION OF TIME-VARYING ARMODELS OF SPEECH THROUGH VI - 305
GAUSS-MARKOV MODELING
Krishna Malladi, Hellosoft Inc, United States; Ratnam Raja kumar, Indian Institute of Technology, India
SPTM-P3.7: RECURSIVE ESTIMATION OF WAVELET BASED TIMEVARYING AR VI - 309
MODELS OF SPEECH
Sreekanth Reddy K, Hughes Software Systems, India; R.V. Raja kumar, Indian Institute of Technology, India
SPTM-P3.8: A STOCHASTIC MODEL FORTHE CONVERGENCE BEHAVIOROF THE VI - 313
AFFINE PROJECTION ALGORITHM FOR GAUSSIAN INPUTS
Sergio Almeida, Catholic University ofPelotas, Brazil; Jose Carlos Bermudez, Federal University ofSanta Catarina,
Brazil; Neil Bershad, University of California, Irvine, United States; Marcio Costa, Catholic University ofPelotas, Brazil
SPTM-P3.9: BAYESIAN FORMULATION OF SUBBAND AUTOREGRESSIVE MODELLING VI - 317
WITH BOUNDARY CONTINUITYCONSTRAINTS
James R. Hopgood, Peter J. R. Rayner, University of Cambridge, United Kingdom
SPTM-P3.10: A HYBRID SUBSPACE PROJECTION METHOD FOR SYSTEM VI - 321
IDENTIFICATION
Sung-Phil Kim, Yadunandana N. Rao, Deniz Erdogmus, University ofFlorida, United States; Jose C. Principe, University
ofFlorida, United States
SPTM-P3.il: BOOTSTRAPPING KERNEL SPECTRAL DENSITY ESTIMATES WITH VI - 325
KERNEL BANDWIDTHESTIMATION
Abdelhak Zoubir, Curtin University ofTechnology, Australia
SPTM-P3.12: IMPROVING FREQUENCY RESOLUTION FOR CORRELATION-BASED VI - 329
SPECTRAL ESTIMATIONMETHODS USING SUBBAND DECOMPOSITION
David Bonacci, Corinne Mailhes, T&SA/ENSEEIHT, France; Petar M. Djuric, Stony Brook University, United States
SPTM-P4: ADAPTIVE FILTERING
SPTM-P4.1: A NORMALIZED MIXED-NORM ADAPTIVE FILTERING ALGORITHM VI - 333
ROBUST UNDER IMPULSIVE NOISEINTERFERENCE
Danilo Mandic, Eftychios Papoulis, Christos Boukis, Imperial College, United Kingdom
SPTM-P4.2: ADAPTIVE BLIND IDENTIFICATION OF SIMO SYSTEMS USING CHANNEL VI - 337
CROSS-RELATION BSf THE FREQUENCY DOMAIN
Yiteng (Arden) Huang, Jacob Benesty, Jingdong Chen, Bell Labs, Lucent Technologies, United States
SPTM-P4.3: ANALYSIS OF ADAPTIVE FILTERALGORITHMS IN FEEDBACK SYSTEMS VI - 341
Hideaki Sakai, Shotaro Inoue, Kyoto University, Japan
SPTM-P4.4: ADAPTIVE ENVELOPE-CONSTRAINED FILTERING VI - 345
Ba-Ngu Vo, Sumeetpal Singh, Vladislav B. Tadic, University ofMelbourne, Australia
xci
SPTM-P4.5: BLOCKIMPLEMENTATION OF A SYNCHRONIZED LEARNING ALGORITHM VI - 349
IN ADAPTIVE LATTICE FILTERS
Naoki Tokui, Ishikawa National College of Technology, Japan; Kenji Nakayama, Akihiro Hirano, Kanazawa University,
Japan
SPTM-P4.6: TRANSIENT BEHAVIOR OF AFFINE PROJECTION ALGORITHMS VI - 353
Hyun-Chool Shin, Pohang University ofScience and Technology, Republic ofKorea; All Sayed, University of California,Los Angeles, United States
SPTM-P4.7: AN ADAPTIVE VARIABLE STEP-SIZE PRE-FILTER BANKALGORITHM FOR VI - 357
COLORED ENVIRONMENTS
Ting Liu, Saeed Gazor, Queen's University, Canada
SPTM-P4.8: ADAPTIVE FILTERING ALGORITHMS FORPROMOTING SPARSITY VI - 361
Bhaskar Rao, Bongyong Song, University ofCalifornia, San Diego, United States
SPTM-P4.9: NONCAUSAL FILTERS: POSSIBLE IMPLEMENTATIONS AND THEIR VI - 365
COMPLEXITY
Davide Mattera, Universita di Napoli "Federico II", Italy; Francesco Palmieri, Seconda Universita di Napoli, Italy;Armando Fiore, Universita di Napoli
'
'Federico IV', Italy
SPTM-P4.10: NEW RESULTS ON THE STABILITY ANALYSIS OFTHE LMF (LEAST MEAN VI - 369
FOURTH) ADAPTIVE ALGORITHM
Pedro Hubscher, National Institutefor Space Research, Brazil; Vitor Nascimento, University ofSao Paulo, Brazil; Jose
Carlos Bermudez, Federal University ofSanta Catarina, Brazil
SPTM-P4.il: A NECESSARY AND SUFFICIENT CONDITION FOR THE BIBO STABILITY VI - 373
OF GENERAL-ORDER BODE-TYPE VARIABLE-AMPLITUDE WAVE-DIGITAL
EQUALIZERSBehrouz Nowrouzian, University ofAlberta, Canada; Arthur T.G. Fuller, Nortel networks, Canada; M. N. S. Swamy,Concordia university, Canada
SPTM-P4.12: AN OPTIMISED NORMALISED LMF ALGORITHM FOR SUB-GAUSSIAN VI - 377
NOISE
Mun Keat Chan, Queen's University Belfast, United Kingdom; Azzedine Zerguine, King Fahd University of Petroleum and
Minerals, Saudi Arabia; Colin Cowan, Queen's University Belfast, United Kingdom
SPTM-P5: MATHEMATICAL TECHNIQUES FOR MULTIRATE SIGNAL PROCESSING
SPTM-P5.1: BASES FORTHEWHOLESAMPLE SYMMETRIC FILTER BANKS USING A VI - 381
COMPLEX ALLPASS FILTER
Magdy Hanna, Cairo University / Fayoum Branch, Egypt
SPTM-P5.2: EFFICIENT SHARPENING OF CIC DECIMATION FILTER VI - 385
Gordana Jovanovic-Dolecek, INAOE, Mexico; Sanjit Mitra, University ofCalifornia, Santa Barbara, United States
SPTM-P5.3: SOLUTION TO THE ORTHOGONALM-CHANNEL BANDLEVflTED WAVELET VI - 389
CONSTRUCTION PROPOSITION
Bryce Tennant, Harris RF Communications, United States; Raghuveer Rao, Rochester Institute of Technology, United
States
SPTM-P5.4: GROUPDELAY APPROXIMATION OF ALLPASS DIGITAL FILTERS BY VI - 393
TRANSFORMINGTHEDESIRED RESPONSE
Tatsuya Matsunaga, Masaaki Ikehara, Keio University, Japan
SPTM-P5.5: THESYMMETRIC RUDIN-SHAPIRO TRANSFORM - AN EASY, STABLE, AND VI - 397
FAST CONSTRUCTION OF MULTIPLE ORTHOGONALSPREAD SPECTRUMSIGNALS
Anders la Cour-Harbo, Aalborg University, Denmark
SPTM-P5.6: A MEMORY EFFICIENT ALGORITHMFORMULTI-DIMENSIONAL WAVELET VI - 401
TRANSFORM BASED ON LD7TING
Zeinab Taghavi Nasrabadi, Sharif University Of Technology, Iran; Shohreh Kasaei, Sharif University ofTechnology, Iran
xcu
SPTM-P5.7: CHARACTERIZATION OF APPROXIMATION ORDER OFMULTI-SCALING VI - 405
FUNCTIONS VIA REFINABLE SUPER FUNCTIONS
Huseyin Ozkaramanli, Eastern Mediterranean University, Turkey; Runyi Yu, Eastern Mediterranean university, Turkey
SPTM-P5.8: WEYL-HEISENBERG SIGNAL EXPANSIONS OVERR IN L2(Z) AND DUALITY VI - 409
RELATIONS INVOLVINGMDFT FILTER BANKS
Cyrille Siclet, UniversM catholique de Louvain, Belgium; Pierre Siohan, IRISA-INRIA, France
SPTM-P5.9: THE MINIMAX DESIGN OF DIGITAL ALL-PASS FILTERS WITH VI - 413
PRESCRIBED POLE RADIUS CONSTRAINT USING SEMIDEFINITE PROGRAMMING
(SDP)
Carson K. S. Pun, University of California, San Diego, United States; Shing-Chow Chan, University ofHong Kong, Hong
Kong SAR of China
SPTM-P5.10: ON THE PHASE CONDITION AND ITS SOLUTION FOR HILBERT VI - 417
TRANSFORM PAIRS OF WAVELETS BASES
Huseyin Ozkaramanli, Runyi Yu, Eastern Mediterranean University, Turkey
SPTM-P5.il: A COMPLETE FAMILY OF SCALING FUNCTIONS: THE VI - 421
(ALPHA,TAU)-FRACTIONAL SPLINES
Thierry Blu, Michael Unser, Swiss Federal Institute ofTechnology (EPFL), Switzerland
SPTM-P5.12: ADAPTED FILTER BANKS IN MACHINE LEARNING VI - 425
Daniel J. Strauss, Institute for New Materials, Germany; W. Delb, J. Jung, P. K. Plinkert, Saarland University Hospital,Germany
SPTM-P6: NON-STATIONARY SIGNALS AND TIME-FREQUENCY ANALYSIS
SPTM-P6.1: DETECTION OF EEG BASIC RHYTHM FEATURE BY USING BAND VI - 429
RELATIVE INTENSITY RATIO(BRIR)
Zhong Ji, Shuren Qin, test center of Chongqing University, China
SPTM-P6.2: OPTIMIZED LOCAL DISCRIMINANT BASIS ALGORITHM VI - 433
Kamyar Hazaveh Hesarmaskan, Kaamran Raahemifar, Ryerson University, Canada
SPTM-P6.3: HIGH RESOLUTIONTIME-FREQUENCY DISTRD3UTIONS FOR VI - 437
MANEUVERING TARGET DETECTION IN OVER-THE-HORIZON RADARS
Yimin Zhang, Moeness Amin, Villanova University, United States; Gordon Frazer, DSTO, Australia
SPTM-P6.4: ENTROPY BASED DETECTION ON THE TIME-FREQUENCY PLANE VI - 441
Selin Aviyente, Michigan State University, United States; William J. Williams, University ofMichigan, United States
SPTM-P6.5: CONSISTENT TIME-FREQUENCY REPRESENTATIONS VI - 445
D. Scott Roberts, Douglas Jones, University ofIllinois, United States
SPTM-P6.6: TRANSIENT SIGNAL DETECTION USING OVERCOMPLETE WAVELET VI - 449
TRANSFORM AND HIGH-ORDER STATISTICS
Cornel Ioana, Andre Quinquis, ENSIETA, France
SPTM-P6.7: NON-STATIONARY SIGNAL CLASSIFICATION USING JOINT FREQUENCY VI - 453
ANALYSIS
Somsak Sukittanon, Les Atlas, University of Washington, United States; James Pitton, Jack McLaughlin, Applied Physics
Laboratory, United States
SPTM-P6.8: A SIMPLESCHEME FORENHANCEDREASSIGNMENT OF THE SMOOTHED VI - 457
PSEUDO WIGNER-VILLE REPRESENTATION OF NOISY SIGNALS
ArturLoza, Nishan Canagarajah, Dave Bull, University of Bristol, United Kingdom
SPTM-P6.9: WATERMARKINGINFLUENCE ON THE STATIONARITY OF AUDIO SIGNALS VI - 461
Sonia Larbi, Meriem Jaidane, Ecole Nationale d'Ingenieurs de Tunis, Tunisia
SPTM-P6.10: AUTO-TERM DETECTIONUSING TIME-FREQUENCYARRAYPROCESSING VI - 465
Luke Cirillo, Curtin University of Technology, Australia; Moeness Amin, Villanova University, United States
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SPTM-P6.il: A GRANULARAPPROACHFOR THE ANALYSIS OF MONOPHONIC AUDIO VI - 469
SIGNALS
Lorcan Donagh, IRISA, France; Frederic Bimbot, IRISA, France; Remi Gribonval, IRISA /INRIA, France
SPTM-P6.12: SPECTRAL CONTENTS OF ASTRONOMICAL UNEQUALLY SPACED VI - 473
TIME-SERIES: CONTRIBUTIONOF TIME-FREQUENCY AND TIME-SCALE ANALYSES
Sylvie Roques, Carole Thiebaut, Observatoire Midi-Pyrenees, France
SPTM-P7: FILTER BANKS
SPTM-P7.1: DISCRETE PROBABILITY DENSITY ESTIMATION USING MULTIRATE DSP VI - 477
MODELS
PalghatP. Vaidyanathan, Byung-Jun Yoon, California Institute ofTechnology, United States
SPTM-P7.2: ON THE LEAST SQUARES SIGNAL APPROXIMATION MODEL FOR VI - 481
OVERDECIMATED RATIONAL NONUNIFORM FILTER BANKS AND APPLICATIONS
Andre Tkacenko, PalghatP. Vaidyanathan, California Institute ofTechnology, United States
SPTM-P7.3: DESIGNING IIR FILTER BANKS COMPOSED OF ALLPASS SECTIONS VI - 485
Chi-Wah Kok, Min Li, Hong Kong University of Science and Technology, Hong Kong SAR of China
SPTM-P7.4: EFFICIENT DESIGN OF OVERSAMPLED NPR GDFTFILTERBANKS VI - 489
Matthew Wilbur, Timothy Davidson, McMaster University, Canada; James P. Reilly, McMaster University, Canada
SPTM-P7.5: NORM INDUCED QMFBANKS DESIGN USING LMI CONSTRAINTS VI - 493
Min Li, Chi-Wah Kok, Hong Kong University ofScience and Technology, Hong Kong SAR of China
SPTM-P7.6: NOISE FEEDBACK STRUCTURE FORNON-ORTHOGONAL TRANSFORM VI - 497
CODING
Shyam Raikar, Anamitra Makur, Indian Institute ofScience, India
SPTM-P7.7: ON EFFICIENT IMPLEMENTATION OF OVERSAMPLED LINEAR PHASE VI - 501
PERFECTRECONSTRUCTIONFILTER BANKS
Jie Liang, The Johns Hopkins University, United States; Lu Gan, Nanyang Technological University, Singapore; ChengjieTu, Trac Tran, The Johns Hopkins University, United States; Kai-Kuang Ma, Nanyang Technological University,
Singapore
SPTM-P7.8: ORTHOGONAL HILBERT TRANSFORM FILTER BANKS AND WAVELETS VI - 505
Rutger van Spaendonck, Rice University, United States; Thierry Blu, Ecole Polytechnique Federale de Lausanne,
Switzerland; Richard Baraniuk, Rice University, United States; Martin Vetterli, Ecole Polytechnique Federale de
Lausanne, Switzerland
SPTM-P7.9: LAPPEDHADAMARD TRANSFORMS AND FILTER BANKS VI - 509
See-May Phoong, National Taiwan University, Taiwan; Yuan-Pei Lin, National Chiao Tung University, Taiwan
SPTM-P7.10: A DESIGNAND IMPLEMENTATION OF ORTHONORMAL SYMMETRIC VI - 513
WAVELET TRANSFORMUSING PRCC FILTER BANKS
Abhijin Adiga, Kalpathi R Ramakrishnan, Indian Institute of Science, India; B. S. Adiga, Philips Innovation Campus, India
SPTM-P7.il: A NEWPROCEDUREFOR THE OPTIMIZED DESIGN OF CMFBS BASED VI - 517
ON THE FREQUENCY-RESPONSE MASKING TECHNIQUE
Miguel Furtado, Paulo Diniz, Sergio Netto, Federal University ofRio de Janeiro, Brazil
SPTM-P7.12: LOW-ORDERHRFILTER BANK DESIGN VI - 521
Hoang Duong Tuan, Tran Thai Son, Toyota Technological Institute, Japan; Truong Q. Nguyen, University ofCalifornia,San Diego, United States
SPTM-P8: APPLICATIONS OF DETECTION AND ESTIMATION
SPTM-P8.1: DETECTION AND IMAGING OFSLOWLY MOVING TARGET OF AIRBORNE VI - 525
SAR BASED ON THE GMCWD-HOUGH TRANSFORM
Ling Wang, Ran Tao, Si-Yong Zhou, Beijing Institute ofTechnology, China
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SPTM-P8.2: MULTIPLE TARGET DETECTIONAND ESTIMATIONBY EXPLOITING THE VI - 529
AMPLITUDE MODULATION INDUCED BY ANTENNA SCANNING. PART I: PARAMETER
ESTIMATION.
Maria Greco, Fulvio Gini, University ofPisa, Italy; Alfonso Farina, Alenia-Marconi Systems, Italy
SPTM-P8.3: MULTIPLE TARGET DETECTION AND ESTIMATION BY EXPLOITINGTHE VI - 533
AMPLITUDE MODULATION INDUCED BY ANTENNA SCANNING. PART II: DETECTION.
Fulvio Gini, Federica Bordoni, Maria Greco, University ofPisa, Italy; Alfonso Farina, Alenia-Marconi Systems, Italy
SPTM-P8.4: EFFICIENT AUDIO SEGMENTATION ALGORITHMS BASED ON THE BIC VI - 537
Mauro Cettolo, TTC-irst, Italy; Michele Vescovi, Universita degli Studi di Trento, Italy
SPTM-P8.5: BIPARAMETRIC CLUTTER-MAP CFAR PROCESSOR INDEPENDENT OF VI - 541
ORIGINAL CLUTTER DISTRIBUTION
Yan Lin, Jun Tang, Xiutan Wang, Huadong Meng, Tsinghua University, China
SPTM-P8.6: PERFORMANCE ANALYSIS OF MEASUREMENT ERRORREGRESSION IN VI - 545
DIRECT-DETECTION LASERRADAR IMAGING
Christina Gronwall, Tomas Carlsson, Swedish Defence Research Agency, Sweden; Fredrik Gustafsson, Linkoping
University, Sweden
SPTM-P8.7: A NON-LINE-OF-SIGHT EQUALIZATION SCHEME FOR WIRELESS VI - 549
CELLULARLOCATION
Nima Khajehnouri, Ali Sayed, University of California, Los Angeles, United States
SPTM-P8.8: POSITIONING USING TIME-DDJFERENCE OF ARRIVAL MEASUREMENTS VI - 553
Fredrik Gustafsson, Fredrik Gunnarsson, Linkoping University, Sweden
SPTM-P8.9: ROBUST CLASSIFICATION OF SAR IMAGERY VI - 557
Maria Magdalena Lucini, Virginie Ruiz, University of Reading, United Kingdom; Alejandro C. Frery, Universidade
Federal de Pernambuco, Brazil; Oscar H. Bustos, Universidad Nacional de Cordoba, Argentina
SPTM-P8.10: AN EFFICIENT QUASI-MAXIMUM LIKELIHOOD DECODERFOR PSK VI - 561
SIGNALS
Zhi-Quan Luo, McMaster University, Canada; Xiaodong Luo, Saltare, Inc., United States; Mikalai Kisialiou, McMaster
University, Canada
SPTM-P8.il: USING CARRIER FREQUENCY ESTIMATORS DEVELOPED FOR AWGN VI - 565
CHANNEL IN MULTIPATH FADING CHANNEL
Chin Keong Ho, Patrick Fung, Institutefor Communications Research, Singapore
SPTM-P8.12: PARAMETERESTIMATION OFLINEARFREQUENCY MODULATED SIGNALS VI - 569
WITH MISSING OBSERVATIONS
Ramon Brcich, Abdelhak Zoubir, Curtin University ofTechnology, Australia
SPTM-P9: SIGNAL RESTORATION, RECONSTRUCTION AND ENHANCEMENT
SPTM-P9.1: TWO-STAGE SIGNAL RECONSTRUCTION UNDER UNKNOWN PARAMETERS VI - 573
AND MISSING DATA
Jui-Chung Hung, Ling-Tung College, Taiwan; Bor-Sen Chen, National Tsing-Hua University, Taiwan
SPTM-P9.2: STOCHASTIC DECONVOLUTION OVER GROUPSFORINVERSE VI - 577
PROBLEMS IN IMAGING
Birsen Yazici, Drexel University, United States
SPTM-P9.3: A PROBABILISTIC APPROACH FORBLIND SOURCESEPARATION OF VI - 581
UNDERDETERMINED CONVOLUTIVE MIXTURES
Michael Peterson, University ofSouthern California, United States; Shubha Kadambe, HRL Laboratories, LLC, United
States
SPTM-P9.4: HALF-QUADRATIC REGULARIZATION FOR MRIIMAGE RESTORATION VI - 585
Rachid Deriche, Pierre Kornprobst, INRIA, France; Mila Nikolova, ENST, France; Michael Ng, University ofHong Kong,
Hong Kong SAR ofChina
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SPTM-P9.5: AN LMI-BASED DECENTRALIZED H-INFINITY FILTERINGFOR VI - 589
INTERCONNECTED LINEAR SYSTEMS
Shoulie Xie, Laboratories for Information Technology, Singapore; Lihua Xie, Nanyang Technological University,
Singapore; Susanto Rahardja, Laboratoriesfor Information Technology, Singapore
SPTM-P9.6: LOCALLY REDUCED-RANK OPTIMAL FILTERING AND ITS APPROXIMATION VI - 593
BY SUCCESSIVE ALTERNATING MINIMIZATION
Isao Yamada, Jamal Elbadraoui, Tokyo Institute ofTechnology, Japan
SPTM-P9.7: FAST IN-CYLINDER PRESSURE RECONSTRUCTION FROM VI - 597
STRUCTURE-BORNE SOUND USING THE EMALGORITHM
Ruben Villarino, Johann F. Bohme, Ruhr-Universitdt Bochum, Germany
SPTM-P9.8: BAYESIAN LEARNING FOR SPARSE SIGNALRECONSTRUCTION VI - 601
David Wipf Bhaskar Rao, University ofCalifornia, San Diego, United States
SPTM-P9.9: AN ADAPTIVE ENTROPY OPTIMIZATIONALGORITHM FORBLIND SOURCE VI - 605
SEPARATION
Yi-Xiang Wang, McMaster University, Canada
SPTM-P9.10: CONSTRAINED EM ESTIMATESFOR HARMONIC SOURCESEPARATION VI - 609
Pamompol Jinachitra, Stanford University, United States
SPTM-P9.il: NON NEGATIVE SPARSE REPRESENTATION FOR WIENER BASED SOURCE VI - 613
SEPARATION WITHA SINGLE SENSOR
Laurent Benaroya, Lorcan Donagh, Frederic Bimbot, Rimi Gribonval, IRISA, France
SPTM-P10: ADAPTIVE SYSTEMS AND SIGNAL PROCESSING
SPTM-P10.1: ADAPTIVE FORGETTING FACTOR RECURSIVE LEAST SQUARES ADAPTIVE VI - 617
THRESHOLD NONLINEAR ALGORITHM (AFF-RLS-ATNA) FOR IDENTIFICATION OF
NONSTATIONARY SYSTEMS
Shin'ichi Koike, NEC Corporation, Japan
SPTM-P10.2: ADAPTIVE ROBUST KERNEL PCA ALGORITHM VI - 621
Congde Lu, Taiyi Zhang, Ruonan Zhang, Chunmei Zhang, Xi'anJiaotong University, China
SPTM-P10.3: ITERATIVE ALGORITHMS FOR LCMPAUXILIARY-VECTOR FILTER VI - 625
Feng Wu, Chenyang Yang, Beijing University ofAeronautics andAstronautics, China
SPTM-P10.4: A METHOD FOR IDENTIFYING NON-GAUSSIANPARAMETRIC MODEL VI - 629
WITH TIME-VARYING COEFFICIENTS
Minfen Shen, Rong Song, Shantou University, China; K.H. Ting, Hong Kong University, Hong Kong SAR ofChina;
Francis H. Y. Chan, University ofHong Kong, Hong Kong SAR ofChina
SPTM-P10.5: HIGHER ORDER EVOLUTIONARY SPECTRAL ANALYSIS VI - 633
Basar UnsalArtan, AydinAkan, Istanbul University, Turkey; Luis F. Chaparro, University ofPittsburgh, United States
SPTM-P10.6: TRACKINGANALYSIS OFNORMALIZEDADAPTIVE ALGORITHMS VI - 637
Muhammad Moinuddin, Azzedine Zerguine, KFUPM, Saudi Arabia
SPTM-P10.7: ROBUST DETECTION OF NONSTATIONARY RANDOM SIGNALS VI - 641
BELONGINGTO P-POINT UNCERTAINTY CLASSES
Gerald Matz, Alfred Raidl, Vienna University of Technology, Austria
SPTM-P10.8: STATE-SPACERLS VI - 645
Mohammad Malik, National University of Sciences and Technology, Pakistan
SPTM-P10.9: ROBUSTONMETHODS FOR STABLE STATISTICAL SIGNAL PROCESSING: VI - 649
PRINCIPLES AND APPLICATION TO NONSTATIONARY SIGNAL ESTIMATION
Franz Hlawatsch, Gerald Matz, Michael Jachan, Vienna University of Technology, Austria
SPTM-P10.10: A NEW QR-BASED BLOCK LEASTMEAN SQUARES (QR-BLMS) VI - 653
ALGORITHM FOR ADAPTIVE PARAMETER ESTIMATION
Xin-xing Yang, Shing-Chow Chan, University ofHong Kong, Hong Kong SAR of China
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SPTM-P10.il: TWOAPPROACHESFORTHE ESTIMATION OF TIME-VARYING VI - 657
AMPLITUDE MULTICHIRP SIGNALS
Helene Cottereau, Jean-Marie Fiasco, Christian Doncarli, Manuel Davy, IRCCyN, France
SPTM-P10.12: A MULTI-WINDOW FRACTIONAL EVOLUTIONARY SPECTRAL ANALYSIS VI - 661
Yalcin Cekic, University ofBahcesehir, Turkey; Aydin Akan, Istanbul University, Turkey
SPTM-P11: NON-LINEAR SYSTEMS AND SIGNAL PROCESSING
SPTM-Pll.l: BLIND IDENTIFIABILITY OF THIRD-ORDER VOLTERRA NONLINEAR VI - 665
SYSYTEMS
Hong-Zhou Tan, Tyseer Aboulnasr, University of Ottawa, Canada
SPTM-P11.2: HARMONIC SIGNAL ANALYSIS WITH KALMAN FILTERS USING PERIODIC VI - 669
ORBITS OF NONLINEAR ODES
Torbjb'rn Wigren, EmadAbd-Elrady, Torsten Soderstrom, Uppsala University, Sweden
SPTM-P11.3: COMPUTING THE RECURSIVE POSTERIOR CRAMER-RAO BOUND FORA VI - 673
NONLINEAR NONSTATIONARY SYSTEM
Robert Taylor Jr., Brian Flanagan, John Uber, MITRE Corporation, United States
SPTM-P11.4: BREAKING THE FEEDBACKLOOP OF SIGMA-DELTA MODULATORS VI - 677
Nguyen T. Thao, City University ofNew York, United States
SPTM-P11.5: OPTIMISATION OF PARTICLE FILTERS USING SIMULTANEOUS VI - 681
PERTURBATION STOCHASTIC APPROXIMATION
Bao Ling Chan, University ofMelbourne, Australia; Amaud Doucet, University of Cambridge, United Kingdom; Vladislav
B. Tadic, University ofMelbourne, Australia
SPTM-P11.6: NONLINEAR EQUALIZATION FOR RICIAN MULTIPATH FADING CHANNEL VI - 685
Qilian Liang, University ofTexas, Arlington, United States
SPTM-P11.7: DIGITAL BASEBANDPREDISTORTION OF NONLINEARPOWER VI - 689
AMPLIFIERS USING ORTHOGONAL POLYNOMIALS
Raviv Raich, Hua Qian, G. Tong Zhou, Georgia Institute ofTechnology, United States
SPTM-P11.8: TRELLIS-BASED SEARCH OF THE MAXIMUM A POSTERIORI SEQUENCE VI - 693
USING PARTICLE FILTERING
Tanya Bertozzi, DIGINEXT, France; DidierLe Ruyet, CNAM, France; Gilles Rigal, DIGINEXT, France; Han Vu-Thien,
CNAM, France
SPTM-P11.9: SEQUENTIAL MONTE CARLO METHOD FOR BLIND EQUALIZATION OF A VI - 697
NONLINEAR SATELLITE COMMUNICATION CHANNEL
Stephane Senecal, LIS CNRS UMR 5083, France; Laurent Cavazzana, ENSIMAG, France; Pierre-Olivier Amblard, LIS
CNRS UMR 5083, France
SPTM-P11.10: GAUSSIAN MIXTURESIGMA-POINT PARTICLE FILTERS FOR SEQUENTIAL VI - 701
PROBABILISTIC INFERENCE IN DYNAMIC STATE-SPACE MODELS
Rudolph van der Merwe, Eric Wan, Oregon Health & Science University, United States
SPTM-P11.11: PARTICLE FILTERINGWITH PAIRWISE MARKOVPROCESSES VI - 705
Frangois Desbouvries, Wojciech Pieczynski, Institut National des Telecommunications, France
SPTM-P11.12: TIME ENCODING AND PERFECT RECOVERY OF BANDLIMITED SIGNALS VI - 709
AurelA. Lazar, Columbia University, United States; Laszlo T. Toth, Budapest Institute of Technology and Economics,
Hungary
SPTM-P12: DETECTION AND ESTIMATION
SPTM-P12.1: MINIMUMMEAN-SQUAREDERROR COVARIANCE SHAPING VI - 713
Yonina Eldar, Technion - Israel Institute of Technology, Israel
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SPTM-P12.2: THE KARHUNEN-LOEVE EXPANSION OF IMPROPER COMPLEX RANDOM VI - 717
SIGNALS WITHAPPLICATIONS IN DETECTION
Peter Schreier, University of Colorado, United States; Louis Scharf, Colorado State University, United States
SPTM-P12.3: APPROXIMATEMAXIMUM-LIKELIHOOD ESTIMATION USING VI - 721
SEMIDEFINITE PROGRAMMING
Joachim Dahl, Bernard Fleury, Aalborg University, Denmark; Lieven Vandenberghe, University ofCalifornia, Los
Angeles, United States
SPTM-P12.4: SAMPLE COVARIANCEMATRIX PARAMETER ESTIMATION: CARRIER VI - 725
FREQUENCY, A CASE STUDY
Javier Villares, Gregori Vazquez, Polytechnic University of Catalonia, Spain
SPTM-P12.5: ANALYTICAL REPRESENTATION FOR POSITIVE ALPHA-STABLE DENSITIES VI - 729
Ercan Engin Kuruoglu, ISTI-CNR, Italy
SPTM-P12.6: INTELLIGENT SENSOR FUSION: A GRAPHICALMODELAPPROACH VI - 733
Jose M. F. Moura, Jin Lu, Marius Kleiner, Carnegie Mellon University, United States
SPTM-P12.7: ESTIMATION OF LOCALLY STATIONARY COVARIANCE MATRICES FROM VI - 737
DATA
Francisco Garcia, Isabel Lourtie, ISR/IST, Portugal
SPTM-P12.8: CFAR DETECTION OF CHIRPLETS IN COLOURED GAUSSIAN NOISE VI - 741
Gustavo Lopez-Risueho, Jesus Grajal, Omar Yeste-Ojeda, Universidad Politecnica de Madrid, Spain
SPTM-P12.9: LOWER BOUNDS ON THE VARIANCE OF DETERMINISTIC SIGNAL VI - 745
PARAMETERESTIMATORS USING BAYESIAN INFERENCE
Yufei Huang, University ofTexas, San Antonio, United States; Jianqiu (Michelle) Zhang, University ofNew Hampshire,United States
SPTM-P12.10: INFORMATION THEORETIC QUANTISER DESIGN FORDECENTRALISED VI - 749
ESTIMATION OF HIDDEN MARKOV MODELS
Subhrakanti Dey, Ferdinando Galati, University ofMelbourne, Australia
SPTM-P12.il: SUBOPTIMAL ROBUST ESTIMATION USING RANK SCORE FUNCTIONS VI - 753
Christopher Brown, Chalmers University of Technology, Sweden; Ramon Brcich, Curtin University of Technology,Australia; Anisse Taleb, Ericsson AB, Sweden
SPTM-P12.12: INDICATORS OF CYCLOSTATIONARITY : PROPOSAL, STATISTICAL VI - 757
EVALUATIONAND APPLICATION TO DIAGNOSTICS
Amani Raad, Jerome Antoni, Menad Sidahmed, Universite de Technologie de Compiegne, France
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