on acoustics, speech, and signal processing
TRANSCRIPT
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
Ixxxvi
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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