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Table of Contents

Plenary Lectures:

1. Some Challenges in Statistical Signal Processing Some Thoughts on Those Challenges andSome Challenges to Those Challenges 1

AlanS Willsky

2. Nonparametric Hypothesis Testing for a Spatial Signal 3Noel Cressie

3. 'Distributed' Signal Processing: New Opportunities and Challenges 4Kannan Ramchandran

4. An Indexed Modeling and Experimental Strategy for Biosignatures of Pathogen and Host . 5J Patrick Fitch

5. Bayesian Computer-Intensive Methods for Statistical Signal Processing 6Simon Godsill

MA1 Sensor Network Algorithms and Compression. Organizer: Urbashi Mitra

MA1-1 A Signal Modeling Framework for Integrated Design of Sensor Networks . 7AkbarM Sayeed

MA1-2 Self-Localization of Three-dimensional Sensor Networks ... 8W Garber and R L Moses

MA1-3 Application-Optimized Quantizers for Time Delay Estimation in Sensor Networks .. 9Lavanya Vasudevan, Antonio Ortega and Urbashi Mitra

MA1-4 Critical Power for Connectivity with Cooperative Transmission in Wireless Ad HocSensor Networks 13

Yao-Win Hong and Anna Scaghohe

MA1-5 The Art of Sleeping in Wireless Sensing Systems 17Jean-Francois Chamberland and Venugopal V Veeravalli

MA1-6 Hierarchical Censoring Sensors for Change Detection 21Neal Patwan, Alfred O Hero III and Brian M Sadler

MA1-7 Sensor Networks for DiscoveryMichael Orchard and Robert Nowak .... 25

MA1-8 Coding of Gauss-Markov Sources with Side Information at the Decoder 26Tianli Chu andZixiang Xiong

MA1-9 Distributed Compression for Large Camera Arrays . . . 30Xiaoqing Zhu, Anne Aaron and Bernd Girod

MA1-10 On Joint Classification and Compression in aDistributed Source Coding Framework 34

P Ishwar, V. M Prabhakaran and K Ramchandran

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MA2 Signal Processing for Communications I. Chair: Pierre Moulin

MA2-1 Embedded-Signal Design for Channel Parameter Estimation Part I: Linear Embedding 38Pierre Moulin

MA2-2 Embedded-Signal Design for Channel Parameter Estimation. Part II:Quantization Embedding 42

Pierre Moulin

MA2-3 Extracting the Channel Allocation Information in a Spectrum Pooling System Using aPrefilter Delay and Multiply Nonlinearity 46

Menguc Oner and Fnednch Jondral

MA2-4 Characterization of Wideband Time-Varying Channels with Multipath-Scale Diversity 50Ye Jiang and Antoma Papandreou-Suppappola

MA2-5 Adaptive ML Signal Detection in Non-Gaussian Channels 54Due Son Pham, Abdelhak Zoubir and Ramon Brcich

MA2-6 Equalization through Large-Deviation Bounds 58Saligrama R Venkatesh and Petros Voulgans

MA2-7 A Self-Coherence Based Anti-Jam GPS Receiver 62Wei Sun and Moeness Amin

MA2-8 A Training Sequence Based Transmit Diversity Technique for Frequency SelectiveFading Channels 66

Jun Yang, Wei Sun and Moeness Amin

MA2-9 A New Error Function for Fast Phase Recovery of QAM Signals In CMA Blind Equalizers 70Sushmita R Thakkallapalli, Sudarshan R. Nelatury and Sathyanarayan S. Rao

MA2-10 Frequency-Domain Estimation of Multiple Access Ultra-Wideband Signals 74Zhengyuan Xu, Jin Tang and Ping Liu

MA2-11 ML-Based Frequency and Frequency Transition Time Estimation of FrequencyHopping Signals 78

., Wanjun Zhi, Chi Chung Ko and Francois Chin

MA2-12 Superimposed Training for Doubly Selective Channels 82G Tong Zhou and Nmg Chen

MA2-13 Asymptotic Efficiency of the BAD Algorithm 86Jill K Nelson, Andrew C Singer and Upamanyu Madhow

MA3 Estimation I. Chair: Hamid Krim

MA3-1 Root-Exchange Property of Constrained Linear Predictive Models 90Tom Backstrom

MA3-2 Maximum Likelihood Estimation of Jakes' Doppler Power Spectrum Parameters forSIMO Channels Using the Whittle Approximation 94

Aleksandar Dogandzic and Benhong Zhang

MA3-3 Multidimensional Estimation Based on a Tensor Decomposition 98Damien Muti and Salah Bourennane

MA3-4 Unsupervised Signal Restoration Using Copulas and Pairwise Markov Chains 102Nicolas Brunei and Wojciech Pieczynski

MA3-5 Theory and Applications of Orthogonal Polynomials for Gaussian Input 106Raviv Raich and G. Tong Zhou

MA3-6 Recursive Estimation of a Locally Stationary Process 110Eric Moulmes, Frangois Roueff and Pierre Pnouret

MA3-7 A Unified Approach to Performance Comparisons between Linear and WidelyLinear Processing ..114

Peter J Schreier, Louis L Scharf and Clifford T Mullis

MA3-8 Causal and Stable FIR-IIR Wiener Filters 118T. Engm Tuncer

MA3-9 Hidden Markov Chain Identification 122Erik I Vernest

MA3-10 On the Accuracy of Spectral Density Estimation 125AbdelhakM Zoubir

MA3-11 MD-Harmonic Retrieval: Exploiting Algebraic Structure in Parameter Estimationand Association 129

Manus Pesavento, Chnstoph F. Mecklenbrauker and Johann F Bohme

MA3-12 New Results on Almost-Sure Identifiability of 2D-Harmonic Retrieval 133Manus Pesavento, Chnstoph F Mecklenbrauker and Johann F. Bohme

MP1 Signal Processing in Networking. Organizer: Mark Coates

MP1-1 Multisite Internet Data Analysis 137Alfred Hero, Meng Fu Shih and David Barsic

MP1-2 Optimal Sampling Strategies for Multiscale Models with Application to NetworkTraffic Estimation 138

Vmay Ribeiro, Rolf Riedi and Richard Baramuk

MP1-3 Multiple Source Network Tomography: a Hypothesis-Testing Approach 142Michael Rabbat, Robert Nowak and Mark Coates

MP1-4 Pseudo Likelihood Estimation and Iterative Proportional Refitting InNetwork Tomography 143

Gang Liang and Bin Yu

MP1-5 Multi-Scale "Spatial" Analysis of Computer Network Traffic Data.. 144Eric Kolaczyk and Mark Crovella

MP1-6 Outstanding Statistical Problems in Tele-Traffic 145Darrell Veitch

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MP2 Image Analysis and Reconstruction. Chair: Al Hero

MP2-1 Improved MR Metabolite Image Reconstruction 146Yufang Bao and Andrew A. Maudsley

MP2-2 Image Segmentation Using Factor Graphs 150Robert J Drost and Andrew C. Singer

MP2-3 Stochastic Models in Image Analysis: Parameter Estimations and Case Studies inImage Segmentation . 154

Ayman S. El-Baz and Aly A. Farag

MP2-4 On Capturing Likelihood Disparity for Unsupervised Image Segmentation 158Guoliang Fan andXiaomu Song

MP2-5 Joint Estimation of Image and Deformation Parameters inTomographic Image Reconstruction 162

M W Jacobson and J A. Fessler

MP2-6 Levelset Based Segmentation Using Data Driven Shape Prior on Feature Histograms 166Andrew Litvin and William C. Karl

MP2-7 Adaptive Nonlinear Multigrid Inversion with Applications to Bayesian OpticalDiffusion Tomography 170

Seungseok Oh, Adam B Milstem, Charles A Bouman and Kevin J. Webb

MP2-8 Image and Signal Restoration Using Pairwise Markov Trees 174Emmanuel Monfnni, Jean Lecomte, Francois Desbouvnes and Wojciech Pieczynski

MP2-9 Texture Classification Using Improved 2d Local Discriminant Baisis 178Mahdi Sabn and Javad Alirezaie

MP2-10 A Multiphase Level Set Method for Tomographic Reconstruction of Dynamic Objects 182Yonggang Shi and William C Karl

MP2-11 Image Restoration with Kernel Component Estimation in Singular Observation Process 186Akira Tanaka, Hideyuki Imai and Masaaki Miyakoshi

MP2-12 Analysis of Multicomponent LFM Signals Using Time-Frequency and the Gray-ScaleInverse Hough Transform 190

Guohua Wei, Siliang Wu and Erke Mao

MP2-13 Non-Linear Filtering Approach to an Adjustment of Non-Uniform Sampling Locationsin Spatial Datasets 194

Masako Kamiyama and Tomoyuki Higuchi

MP3 Systems Analysis. Chair: Mirek Pawlak

MP3-1 Frequency Estimation Derived from a Dynamical System Analysis 198Cyril Hory, Michael Ting and Alfred O. Hero

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MP3-2 Blind Identification of Volterra-Hammerstein Systems 202Nicholas Kalouptsidis and Panos Koukoulas

MP3-3 A Weighted Principal Component Regression Approach for System Identification 206Xinshu Xiao, Ramaknshna Mukkamala and Richard J Cohen

MP3-4 Active Non-Linear Noise Control with Non-Linearities in the Secondary Path 210Victor E. DeBrunner and Dayong Zhou

MP3-5 An Improved Approximate QR-LS Based Second-Order Volterra Filter 214Yi Zhou, S C. Chan and K L Ho

MP3-6 On Non-Parametric Identification of Multi-Channel Non-Linear Systems byMultiscale Expansions 218

Mirek Pawlak and Zygmunt Hasiewicz

MP3-7 Echo-Cancellation in a Rapidly Time Varying Environment . .. 222Saligrama R Venkatesh

MP4 Source Coding and Watermarking. Chair: Zixiang Xiong

MP4-1 Transform-Based Image Compression by Noise Reduction and Spatial ModificationUsing Boolean Minimization 226

Sos S Agaian, Thomas A Baran and Karen A Panetta

MP4-2 Performance Loss of Dirty-Paper Codes in Additive White Gaussian Noise andJitter Channels... 230

Vimcius Licks, Fabricio O Ounque, Ramiro Jordan and Gregory Heileman

MP4-3 Canonical Coordinates are the Right Coordinate System for Transform Coding ofNoisy Sources 234

Peter J Schreier, Louis L Scharf, Tianjian Hu and Stephen D Voran

MP4-4 Reduced Rank Predictive Source Coding . 238Hanna E. Witzgall and J Scott Goldstein

MP4-5 FMR Watermarking: A New Multi-resolution Semi-Fragile Method forAuthentication Applications. 242

Hamidreza Zamam and Hamid R Rabiee

MP5 Wavelets and Time-Frequency Analysis. Chair: Richard Baraniuk

MP5-1 Time-Frequency Modelling as a Mixture of Chi2 Distributions 246Cyril Hory and Nadme Martin

MP5-2 Optimal Time-Frequency Kernels for Spectral Estimation of LocallyStationary Processes 250

Patnk Wahlberg and Maria Hansson

MP5-3 Polarimetric Time-Frequency MUSIC in Coherent Signal Environment 254Yimm Zhang, Baha A Obeidat and Moeness G Amin

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MP5-4 Hierarchical Markov Models for Wavelet-Domain Statistics 258Zohreh Azimifar, Paul Fieguth and Ed Jernigan

MP5-5 Directional Multiscale Modeling of Images Using the Contourlet Transform 262Duncan Po and Mmh N Do

MP5-6 Orthogonal Projection Pursuit Using Genetic Optimization 266Jilm Tu, Ross Bevendge, Michael Kirby and Thomas Huang

MP5-7 On the Use of EM and High Resolution Atomic Decomposition to Estimate a LinearMixture of Chirplets 270

Gustavo Lopez-Risueno, Jesus Grajal and Omar A Yeste-Ojeda

TA1 Statistical Issues in MEG/EEG. Organizer: Barry Van Veen

TA1-1 Subspace Based MEG Source Detection 274Alberto Rodriguez, Tulaya Limpiti, Boris V Baryshnikov, Barry D Van Veen and Ronald T Wakai

TA1-2 Maximum Likelihood Estimation of Low Rank Signals for Multiepoch MEG/EEG Data 278Boris V. Baryshnikov, Barry D Van Veen and Ronald T Wakai

TA1-3 Investigations of Dipole Localization Accuracy in MEG Using the Bootstrap 282Felix Darvas, M Rautiamen.S Baillet.A Ossadtchi.J C MosherandR M Leahy

TA1-4 Effect of Perturbations in the Geometry on the ElectroencephalographyInverse Problem 286

Nicola's Von Ellenneder, Carlos H Muravchik and Arye Nehorai

TA1-5 Quantification of the Relationship between Magnetoencephalographic (Meg) andBlood Oxygenation Dependent (Bold) Images of Brain Function . 290

Gareth R Barnes, Knsh D Singh, Ian Fawcett, Avgis Hadjipapas andArjan Hillebrand

TA1-6 Equivalence of Linear Approaches in Bioelectromagnetic Inverse Solutions 294John C Mosher, Sylvam Baillet and Richard M Leahy

TA2 Statistical Inferences on Manifolds with Applications in Image Analysis.Organizer: Anuj Srivastava

TA2-1 Reconstruction of Planar Scenes from Multiple Views Using Affine and ProjectiveShape Manifolds 298

Kanti V. Mardia, Vic Patrangenaru, Gordana Derado and Vlad P Patrangenaru

TA2-2 A Geometric Approach to Shape Clustering and Learning 302Shantanu H. Joshi andAnuj Srivastava

TA2-3 Initial Value Diffeomorphic Landmark Matching and Its Application to Shape Statistics... 306Marc Vaillant, Michael I. Miller, Laurent Younes and Can Centoglu

TA2-4 Affine-Permutation Symmetry: Invariance and Shape Space 307David Sepiashvili, Jose M F Moura and Victor HS Ha

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TA2-5 Axial Representations of 3D Shapes 311Yan Cao

TA2-6 Efficient Algorithms for Inferences on Grassmann Manifolds 315Kyle Gallivan, Anuj Srivastava, Xiuwen Liu and Paul Van Dooren

TA3 Signal Processing for Communications II. Chair: G. Tong Zhou

TA3-1 Decorrelating Receivers of Differential Space-Time Coded CDMA Systems 319Zhonglm Chen, Guangxi Zhu and Ymgzhuang Liu

TA3-2 Bayesian Blind PARAFAC Receivers for DS-CDMA Systems 323Alexandre F de Baynast, Behnaam Aazhang, David Declercq and Lieven De Lathauwer

TA3-3 A Frequency Domain Based Approach for Low Complexity RAKE Receivers inCDMA Systems . 327

AmarA Abd El-Sallam and Abdelhak M Zoubir

TA3-4 Linear MMSE Receiver Using Hidden Training Sequence in Multipath Channel for theW-CDMASystem.. . 331

Sung Yoon Jung and Dong Jo Park

TA3-5 Multipath Diversity and Channel Estimation Using Time-Varying Chirps in CDMASystems with Unknown CSI . 335

Hao Shen and Antonia Papandreou-Suppappola

TA3-6 Steganalysis of Block-DCT Image Steganography . 339Ying Wang and Pierre Moulin

TA3-7 Blind Adaptive Multiuser Detection for Uplink Long-Code CDMA Systems. . 343Ping Liu and Zhengyuan Xu

TA3-8 Channel Estimation and Tracking In Spatially Correlated MIMO OFDM Systems 347Mihai Enescu, Timo Roman and Visa Koivunen

TA3-9 Blind Channel Estimation for OFDM Systems Based on Non-redundantLinear Precoding . . .351

Rui Lin and Athma P Petropulu

TA3-10 Iterative Receivers for OFDM Coded Broadband MIMO Fading Channels 355Hui Liu, Xiaodong Wang and Zixiang Xiong

TA3-11 Progressive Image Transmission over Space-time Coded OFDM Systems withAdaptive Modulation . 359

Yong Sun and Zixiang Xiong

TA3-12 Blind Channel Estimation in MIMO OFDM Systems . .. 363Sarod Yatawatta and Athma P Petropulu

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TA4 Signal Processing for Sensor Networks. Chair: Randy Moses

TA4-1 Scaling Laws and Operation of Wireless Ad-Hoc and Sensor Networks 367Shuchm Aeron and Saligrama Venkatesh

TA4-2 The Embedded Triangles Algorithm for Distributed Estimation in Sensor Networks 371Veromque A Delouille, Ramesh Neelamam, Venkat Chandrasekara and Richard G Baraniuk

TA4-3 Parallel Wireless Mobile Relays with Space-Time Modulations 375Yingbo Hua, Yan Mei and Yu Chang

TA4-4 An Information Processing Approach to Distributed Detection 379Michael A Lexa and Don H Johnson

TA4-5 A Statistics-Guided Progressive RAST Algorithm for Peak Template MatchinginGCxGC 383

Mmgtian Ni and Stephen E Reichenbach

TA4-6 Energy-Based Source Localization via Ad-Hoc Acoustic Sensor Network 387Tien Pham, Brian M Sadler and Haralabos Papadopoulos

TA4-7 A Stochastic Power Control Algorithm for Wireless Networks 391Ananth Subramanian, Nima Khajehnoun and Ah H. Sayed

TA4-8 Distributed Source Number Estimation for Multiple Target Detection inSensor Networks 395

Xiaolmg Wang, Hairong Qi and Hongtao Du

TA4-9 Nested Quantization and Slepian-Wolf Coding: a Wyner-Ziv Coding Paradigm forI.I.D. Sources 399

Zixiang Xiong, Angelos D Livens, Samuel Cheng and Zhixm Liu

TP1 Learning Methods in Statistical Signal Processing. Organizer: Andrew Singer

TP1-1 Translating Images by Unsupervised Estimation of Switching Filters 403Romer Rosales, Kannan Achan and Brendan Frey

TP1-2 Stochastic Grammars for Images on Arbitrary Graphs 407J M Siskmd, I Pollak, M P Harper and C A Bouman

TP1-3 Bayesian Learning for Models of Human Speech Perception 408Mark A Hasegawa-Johnson

TP1-4 Manifold Learning Using Geodesic Entropic Graphs 412Alfred Hero and Jose Costa

TP1-5 Fast Adaptive Bayesian Beamforming Using the FFT 413Chun-WeiJ Lam and Andrew C. Singer

TP1-6 A Multiresolution Approach to Pattern Recognition 417Clayton D Scott and Robert D. Nowak

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TP1-7 Cryo Electron Microscopy of Mixed Ensembles: Simultaneous Pattern Recognitionand 3-D Reconstruction 421

Zhye Yin, Peter C Doerschuk and Saul B Gelfand

TP2 MIMO Systems. Chair: Lee Potter

TP2-1 Bayesian Blind MIMO Deconvolution of Nonstationary Autoregressive Sources Mixedthrough All-Pole Channels .... 422

James R Hopgood

TP2-2 Eigenstructure Based Blind Channel Order Determination and Kernel Estimation forMIMO Systems 426

Diamantis Kotoulas, Panos Koukoulas and Nicholas Kalouptsidis

TP2-3 Channel Identification and Tracking Using Alternating Projections 430M Amin Zia, James P Reilly and Shahram Shiram

TP2-4 Minimum FIR Deconvolver Orders for MIMO Systems in One or Several Variables 434Ravikiran Rajagopal and Lee C. Potter

TP2-5 Blind Separation and Deconvolution of MIMO-FIR System with Colored Sound InputsUsing SIMO-Model-Based ICA . . . . 438

Hiroshi Saruwatan, Hiroaki Yamajo, Tomoya Takatam, Tsuyoki Nishikawa and Kiyohiro Shikano

TP2-6 Channel Estimation for Precoded MIMO Systems 442Azadeh Vosoughi and Anna Scaglione

TP3 Array, SONAR and RADAR Processing. Chair: Aaron Lantermann

TP3-1 A Correlated Signals MLE Approach to Joint Source Detection and Direction ofArrival Estimation .'. 446

RoyE Bethel and Knstme L Bell

TP3-2 Sonar Bottom Mapping Using Fourth-Order Cumulants 450Russell J. Jeffers, Digital System Resources

TP3-3 Avoiding Local Minima in Entropy-Based SAR Autofocus 454Robert L. Morrison, David C Munson and Minh N. Do

TP3-4 Source Localization with Partly Calibrated Distributed Electromagnetic ComponentSensor Array 458

Chong-Meng S. See and Arye Nehorai

TP3-5 Influence Functions for Array Covariance Matrix Estimators 462Esa Ollila and Visa Koivunen

TP3-6 Adaptive Detection of Targets on the Sea Surface Based upon Range-CompressedSAR Data 466

Francesco Bandiera, Giuseppe RICCI and Manlio Tesauro

TP3-7 Localization of Nonstationary Sources Using a Coherence Test 470Satish Mohan, Michael L. Kramer, Bruce C Wheeler and Douglas L Jones

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TP3-8 Localization of Buried Objects through Higher Order Statistics Techniques 474Ammar Bendjama and Salah Bourennane

TP3-9 Robust Linear Estimation with Covariance Uncertainties 478Yonina C. Eldar and Neri Merhav

TP4 Statistical Learning Theory and Methods. Chair: Rob Nowak

TP4-1 Reducing Bias in Supervised Learning 482Maya R. Gupta and Robert M. Gray

TP4-2 Clustering of Spatiotemporal Signals: Application to the Analysis of Fmri Data 486Francois G. Meyer and Jatuporn Chinrungrueng

TP4-3 Strong-Sense Class-Dependent Features for Statistical Recognition 490Mohamed K. Omar and Mark A. Hasegawa-Johnson

TP4-4 A Bootstrap Model Selection Criterion Based on Kullback's Symmetric Divergence 494Abd-Krim M. Seghouane and Lieven M. De Lathauwer

TP5 Monte Carlo Methods. Chair: Mark Coates

TP5-1 Global Sampling for Sequential Filtering Over Discrete State Space 498Pascal Cheung Mon Chan and Eric Moulines

TP5-2 Extended Object Tracking with Unknown Association, Missing Observations andClutter Using Particle Filters 502

Norikazu Ikoma and Simon J. Godsill

TP5-3 Reversible Jump Markov Chain Monte Carlo for Brain Activation Detection 506Ana S. Lukic, Miles N. Wernick, Nikolas P. Galatsanos and Yongyi Yang

TP5-4 A Bayesian Approach to Tracking Wideband Targets Using Sensor Arrays andParticle Filters 510

William Ng, James P. Reilly and Thia Kirubarajan

TP5-5 MCMC-Based Peak Template Matching for GCxGC 514Mingtian Ni, Qingping Tao and Stephen E. Reichenbach

TP5-6 Stochastic Simulation and Parameter Estimation of Enzyme Reaction Models 518Xueying Zhang, Katrien De Cock, Monica F. Bugallo and Petar M. Djuric

WA1 Applications of Particle Filters in Signal Processing.Organizer: Antonia Papandreou-Suppappola

WA1-1 Particle Filtering for Systems with Unknown Noise Probability Distributions 522Joaquin Mfguez, Shanshan Xu, Monica F. Bugallo and Petar M. Djuric

WA1-2 Particle Filter for Underwater Terrain Navigation 526Rickard Karlsson and Fredrik Gustafsson

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WA1-3 Bayesian Inference of Network Loss Characteristics with Applications to TCPPerformance Prediction 530

Dong Guo and Xiaodong Wang

WA1-4 Audio Signal Enhancement Using a Block-Sequential Gabor Regression Scheme 534Patrick J. Wolfe and Simon J. Godsill

WA1-5 A Combined Particle/Kalman Filter for Improved Tracking of Beam Aspect Targets 535David A. Zaugg, Alphonso A. Samuel, Donald E. Waagen and Harry A. Schmitt

WA1-6 Minimization of Sensor Usage for Target Tracking in a Network of IrregularlySpaced Sensors 539

Thomas J. Stevens and Darryl R. Morrell

WA2 Sequential Monte Carlo Methods. Organizer: Patrick Wolfe

WA2-1 Application of Monte Carlo Mixture Kalman Filter to GPS Data Analysis forSpace-Time Inversion 543

Tomoyuki Higuchi and Jun'ichi Fukuda

WA2-2 Sequential Monte Carlo Methods for Filtering and Smoothing in Hidden Markov Models... 544Yuguo Chen and Tze Leung Lai

WA2-3 Radial Basis Function Regression Using Trans-Dimensional Sequential Monte Carlo 545Jaco Vermaak, Simon J. Godsill and Arnaud Doucet

WA2-4 Scheduling Multiple Sensors Using Particle Filters in Target Tracking 549AmitS. Chhetri, Darryl Morrell and Antonia Papandreou-Suppappola

WA2-5 Particle Filters for Partially Observed Markov Chains 553Natacha Caylus, Arnaud Guyader and Francois Le Gland

WA3 Estimation II. Chair: Louis Scharf

WA3-1 Barankin Lower Bound for Change-Points in Independent Sequences 557Andre Ferrari and Jean- Yves Tourneret

WA3-2 A Test for'Long-Memory' Processes". 561David J. Thomson

WA4 Blind Source Separation and Independent Component Analysis. Chair: Scott Douglas

WA4-1 Renyi Entropy Based Divergence Measures for ICA 565Yufang Bao and Hamid Krim

WA4-2 New Multivariate Dependence Measures and Applications to Neural Ensembles 569Han N. Goodman and Don H. Johnson

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WA4-3 Source Localization by Enforcing Sparsity through a Laplacian Prior:an SVD-Based Approach 573

Dmitry M. Malioutov, Mujdat Cetin and Alan S. Willsky

WA4-4 Information Divergence Measures for Detection of Borders between Coding andNoncoding DNA Regions Using Recursive Entropic Segmentation 577

Daniel Nicorici and Jaakko Astola

WA4-5 A Blind-ML Scheme for Blind Source Separation 581Yuval Lomnitz and Arie Yeredor

WA4-6 Sequential Detection with Limited Memory 585Emre Ertin and Lee C. Potter

WA5 Speech and Audio Processing. Chair: Simon Godsill

WA5-1 Subspace Based Vowel-Consonant Segmentation 589R. Muralishankar, A. Vijaya Krishna and A. G. Ramakrishnan

WA5-2 Noise Speech Recognition with Microphone Array Steering and Fourier/WaveletSpectral Subtraction 593

Yuki Denda, Takanobu Nishiura and Hideki Kawahara

WA5-3 Talker Localization Based on the Combination of DOA Estimation and StatisticalSound Source Identification with Microphone Array 597

Takanobu Nishiura and Satoshi Nakamura

WA5-4 Particle Filtering Approach to Bayesian Formant Tracking 601Yanli Zheng and Mark Hasegawa-Johnson

WA5-5 The Formant Structure Based Feature Parameter for Speech Recognition 605Junhui Zhao, Jingming Kuang and Xiang Xie

WA5-6 Speech Enhancement with Noise Parameter Estimated by a Sequential MonteCarlo Method 609

Kaisheng Yao and Te-Won Lee

WA6 Detection Theory and Methods. Chair: Don Johnson

WA6-1 Joint Detection of Variance Changes Using Hierarchical Bayesian Analysis 613Marie Chabert, Jean-Yves Tourneret and Martial Coulon

WA6-2 Microwave-Based Detection of Breast Cancer Using the Generalized LikelihoodRatio Test 617

Shakti K. Davis, Susan C. Hagness and Barry D. Van Veen

WA6-3 Stable Adaptive Nonstationary Signal Detection Based on the Robuston Scheme 621Michael Jachan, Franz Hlawatsch and Gerald Matz

WA6-4 Robust Detection under Bhattacharyya Metric 625Soumya Jana and Pierre Moulin

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UMP Invariance in Adaptive Detection: Kernels That Preserve MonotoneLikelihood Ratio 629

Shawn Kraut, Louis L. Scharfand Ronald W. Butler

Detection of an Electron Spin in a MRFM Cantilever Experiment 633Michael Ting and Alfred O. Hero

Audio Noise Detection Using Hidden Markov Model 637Mahdi Sabri, Ja vad Alirezaie and Sridhar Krishnan

Active-Testing Surveillance for Multiple Target Detection with Composite Hypotheses 641Lisandro A. Boggio and Daniel R. Fuhrmann

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