Technical program
Tuesday, June 28
11:00 - 12:00
- Plenary session
- Chair: Jean-Yves Tourneret (University of Toulouse, France)
- High Dimensional Signal Classification with Invariant Representations
14:00 - 15:00
- Plenary session
- Chair: Petar M. Djuric (Stony Brook University, USA)
- The Information Limit in Clutter: CRLB in the Presence of False Measurements and the ML-PDA Estimator
15:30 - 17:30
- Polarized Signal Processing
- Chair: Sebastian Miron (Univ. Nancy, France)
- Cramér-Rao Bound of the Direction-of-Arrival Estimation Using a Spatially Spread Electromagnetic Vector-Sensor
- MUSIQUE: A Quaternion-Based Array Processing Technique for Surface Wave Polarization Analysis
- Angular Resolution Limit for Vector-Sensor Arrays: Detection and Information Theory Approaches
- Weiss-Weinstein Bound and SNR Threshold Analysis for DOA Estimation with a COLD Array
- Sparse Modeling for Polarimetric Radar
- Micro-crystal Orientations Estimation in Polarized Raman Microscopy Using an Acquisition Scheme with Multiple Diversities
- Statistical Signal Processing in Finance
- Chair: Ilya Pollak (Purdue University, West Lafayette, USA)
- Sentiment Revealed in Social Media and Its Effect on the Stock Market
- Smooth Isotonic Covariances
- A Kalman Filter Based DSP Method for Prediction of Seasonal Financial Time Series with Application to Energy Spot Price Prediction
- Portfolio Selection Via Constrained Stochastic Gradients
- Estimation of Predictive Loss Distributions by Particle Filtering
- On Basic Price Model and Volatility in Multiple Frequencies
- Nonparametric Bayesian Factor Analysis of Multiple Time Series
- Construction of an Interest Rate Model From Statistical Data
- Adaptive Systems and Signal Processing I
- Chair: Carlos Moreira Bermudez (Federal University of Santa Catarina, Brazil)
- Stochastic Analysis of the LMS Algorithm for Non-Stationary White Gaussian Inputs
- Improved Triple Difference GPS Carrier Phase for RTK-GPS Positioning
- A Variable Step-Size Phase Acquisition and Tracking Algorithm for Blind Phase Recovery in QAM Systems
- Robust Distributed Target Tracking in Wireless Sensor Networks Based on Multi-Objective Optimization
- Adaptive Modulation and Power in Wireless Communication Systems with Delay Constraints
- Kalman Filtering Approximations in Triplet Markov Gaussian Switching Models
- A Novel Reduced-Complexity Widely Linear QLMS Algorithm
- Detection and Estimation Theory I
- Chair: Jianguo Huang (Northwestern Polytechnical University, Xian, P.R. China)
- A Propagation Model Based on Stationary Random Delays
- Fast Estimation of Hidden Markov Models Via Alpha-EM Algorithm
- Optimal Signaling and Detector Design for Power Constrained On-Off Keying Systems in Neyman-Pearson Framework
- Adaptive Matched Filter Detection Method on Underwater Small Aperture Array
- Efficiency of Line Search Strategies in Interior Point Methods for Linearly Constrained Signal Restoration
- Kernels for Reconstructing Nonideally Sampled Nonbandlimited Signals
- Multilevel Minimax Hypothesis Testing
- Bioinformatics, Genomic Signal Processing
- Chair: Yufei Huang (University of Texas at San Antonio, USA)
- Regularized Nonnegative Matrix Factorization for Autofluorescence Removal in Fluorescence Optical Imaging
- Grey Structure Activity Relationship Analysis of Phenolic Acid Phenethyl Esters on Human Breast Cancer
- Joint Bayesian Hierarchical Inversion-Classification and Application in Proteomics
- Bacteria DNA Sequence Compression Using a Mixture of Finite-Context Models
- A New Approach for Merging Gene Expression Datasets
- DNA Synthetic Sequences Generation Using Multiple Competing Markov Models
- Radial Gaussianization with Cluster-specific Bias Compensation
- Array Processing, Radar and Sonar I
- Chair: Jean Pierre Delmas (UMR CNRS 5157 - CITI Department, France)
- Dual-Domain Adaptive Beamforming Based on Direction-Of-Arrival Information
- Robust Capon Beamforming with Additional Linear Constraints
- Multi-sensor Beamsteering Based on the Asymptotic Likelihood for Colored Signals
- Spectral Efficiency of Beamforming-Based Parameter Estimation in the Single Source Case
- IIR Adaptive Array: Spatial IIR Filtering with DOA Estimator
- Two-Dimensional Direction Estimation of Coherent Signals with Two Parallel Uniform Linear Arrays
- Performance of Hybrid Wideband Doppler Sonars
- Searching the Most Appropriate Mother Wavelets for Bayesian Denoising of SONAR Images in the Hyperanalytic Wavelet Domain
Wednesday, June 29
8:30 - 9:30
- Plenary session
- Chair: Eric Moulines (Ecole Nationale Supérieure des Télécommunications, France)
- Bayesian Nonparametrics for Speech and Signal Processing
10:00 - 12:00
- Application of SSP in Mobile Terminal Localization
- Chair: Kostas Papakonstantinou (Eurecom, France)
- Experimental Multilevel NLOS Characterization for UWB Network Localization
- Adaptive Bayesian Network for Traffic Flow Prediction
- Incremental Decode-forward Relaying Over Asymmetric Fading Channels: Outage Probability and Location-aided Relay Selection
- Theoretical Performances Assessment of Hybrid Localization Techniques
- Performance Bounds and Identifiability Conditions for Location Estimation in NLoS Dynamic Environments
- Particle Filtering for Indoor RFID Tag Tracking
- Monte Carlo Methods
- Chair: Olivier Cappé (LTCI, Telecom Paris Tech, CNRS, France)
- Fast Computation of Smoothed Additive Functionals in General State-Space Models
- Clustering Using Sum-Of-Norms Regularization with Application to Particle Filter Output Computation
- A Comparative Study of Monte-Carlo Methods for Multitarget Tracking
- Improving Particle Approximations of the Joint Smoothing Distribution with Linear Computational Cost
- A Non Asymptotical Analysis of the Optimal SIR Algorithm Vs. the Fully Adapted Auxiliary Particle Filter
- A Particle Smoothing Implementation of the Fully-Adapted Auxiliary Particle Filter: An Alternative to Auxiliary Particle Filters
- Efficient Markov Chain Monte Carlo Inference in Composite Models with Space Alternating Data Augmentation
- Online Expectation Maximization Algorithm to Solve the SLAM Problem
- Sensor Networks
- Chair: Pierre Comon (CNRS, University of Nice, France)
- SAL: Shadowing Assisted Localization
- Decentralized Recovery of Sparse Signals for Sensor Network Applications
- Consensus-Based Distributed Unscented Particle Filter
- Using Spectral Correlation for Non-Cooperative RSS-Based Positioning
- On the "Near-universal Proxy'' Argument for Theoretical Justification of Information-driven Sensor Management
- Biasing Emitter Location Estimates Via False Location Injection
- Probability Distribution of Steady-State Errors and Adaptation Over Networks
- Assumed Density Filtering for Learning Gaussian Process Models
- Learning Theory and Pattern Recognition I
- Chair: Maya R Gupta (University of Washington, USA)
- Least-Squares LDA Via Rank-One Updates with Concept Drift
- On Provable Exact Low-Rank Recovery in Topic Models
- Bayesian Transfer Learning for Noisy Channels
- Robust Classification of Signal Estimates Given a Channel Model
- Multi-Class Least Squares Classification At Binary-Classification Complexity
- Kernel-Based Autoregressive Modeling with a Pre-Image Technique
- Expected Kernel for Missing Features in Support Vector Machines
- System Identification and Calibration
- Chair: Christian Jutten (GIPSA-Lab, France)
- Error Correction Via Smoothed L0-norm Recovery
- Gradient Algorithm for Reference-based Cubic Contrast Function in a Deflation Scenario
- Blind MIMO System Identification Using Constrained Factor Decomposition of Output Generating Function Derivatives
- A Gradient Based Method for Fully Constrained Least-Squares Unmixing of Hyperspectral Images
- A Composite Hypothesis Test for Active Weight Detection in Sparse System Identification
- Sparse Multiresolution Modal Estimation
- New Methods, Directions and Applications I
- Chair: Arie Yeredor (Tel-Aviv University, Israel)
- Using Wavelets for Fast Monte Carlo Simulation of Ising Systems with Distribution Matching
- Sparse Deconvolution: Comparison of Statistical and Deterministic Approaches
- Separating Background and Foreground in Video Based on a Nonparametric Bayesian Model
- A Probabilistic Image Analysis Problem and Random Linear Equations
- L_1 Regularized STAP Algorithm with a Generalized Sidelobe Canceler Architecture for Airborne Radar
- Multi-sensor Phd by Space Partitioning: Computation of a True Reference Density Within the Phd Framework
- New Stopping Criteria for Iterative Blind Image Deblurring Based on Residual Whiteness Measures
- Soft Bayesian Pursuit Algorithm for Sparse Representations
14:00 - 15:00
- Plenary session
- Chair: Ali H. Sayed (University of California, Los Angeles, USA)
- A Copula based Framework for Distributed Inference
15:30 - 17:30
- Signal Processing for Complex Systems
- Chair: Joaquin Mìguez (Univ. Carlos III, Madrid, Spain)
- Efficient Nonlinear Data Assimilation for Oceanic Models of Intermediate Complexity
- On the Optimization of Transportation Routes with Multiple Destinations in Random Networks
- Evolution of Social Belief in Multiagent Systems
- Exploring the Connectivity Structure in Metabolic Networks: Going Beyond Graphs Via Discrete Optimization
- Bayesian Non-Negative Factor Analysis for Reconstructing Transcriptional Regulatory Network
- A Greedy Perturbation Approach to Accelerating Consensus Algorithms and Reducing Its Power Consumption
- Communication Systems and Networks
- Chair: Dirk Slock (Eurecom, France)
- Blind Joint Interference Suppression and Power Allocation with Alternating Optimization for Cooperative DS-CDMA Networks
- Spectrum Sensing in Cooperative Cognitive Networks with Partial CSI
- Collaborative Spectrum Sensing in Cognitive Radio Using Hard Decision Combining with Quality Information
- CRC-Assisted Error Correction in a Trellis Coded System with Bit Stuffing
- Low-Complexity Constant Modulus Algorithms for Blind Beamforming Based on Symmetrically Distributed Arrays
- Speech Enhancement Using a Frame Adaptive Gain Function for Wiener Filtering
- Bayesian Blind FIR Channel Estimation Algorithms in SIMO Systems
- Multivariate Statistical Analysis
- Chair: Philippe Loubaton (Université de Marne La Vallée, France)
- Fundamental Finite-Sample Limit of Canonical Correlation Analysis Based Detection of Correlated High-Dimensional Signals in White Noise
- Multi-dimensional Signal Separation with Gaussian Processes
- Robust Retrospective Multiple Change-point Estimation for Multivariate Data
- Carrier Phase Integer Ambiguity Resolution with Inequality Constraints for GPS and Galileo
- Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model
- Generalized Canonical Correlation for Passive Multistatic Radar Detection
- Statistical Analysis of the Finite Sample Forward-Backward MVDR Beamformer
- Array Processing, Radar and Sonar II
- Chair: Vitor H Nascimento (USP, Brazil)
- A Framework for Reduced Dimension Robust Capon Beamforming
- Fast Near-field Acoustic Imaging with Separable Arrays
- Direction Finding Algorithms for Time Reversal MIMO Radars
- Robust Wideband Beamforming Based on Frequency Invariance Constraint with Norm-bounded Errors
- Detection Performance of MIMO Radars in Presence of K-distributed Clutter Using Multi-dimensional Saddle Point Approximation
- Robust Adaptive Beamforming Algorithms Using Low-Complexity Mismatch Estimation
- Joint Direction-of-Arrival and Order Estimation in Compressed Sensing Using Angles Between Subspaces
- GLRT-Based Framework for the Multidimensional Statistical Resolution Limit
- Biosignal Processing and Medical Imaging I
- Chair: Jérome Mars (Grenoble Institute of Technology, France)
- Probabilistic Model Definition for Physiological State Monitoring
- Parameter Estimation for Hybrid Wavelet-Total Variation Regularization
- A Tolerant Algorithm for Cardiac Pulses Characterization in Ballistocardiography Signals in a Non-Invasive System
- Bayesian Variational Approximation for the Joint Detection Estimation of Brain Activity in fMRI
- Cramér-Rao Lower Bounds for Estimating the Time Varying Delay of Surface EMG Signals
- Sparse Multichannel Source Separation Using Incoherent K-SVD Method
- Information Forensics and Security
- Chair: Rebecca Willett (Duke University, USA)
- Image Protection Based on Visual Cryptography and Statistical Property
- Anomalous Subgraph Detection Via Sparse Principal Component Analysis
- One Class Support Vector Machines for Audio Abnormal Events Detection
- Reliable Detection of Hidden Information Based on a Non-Linear Local Model
- Dynamic Relational Topic Model for Social Network Analysis with Noisy Links
- Hypothesis Testing by Using Quantized Observations
- Local Gabor Directional Pattern Histogram Sequence (LGDPHS) for Age and Gender Classification
Thursday, June 30
8:30 - 9:30
- Plenary session
- Chair: Alfred Hero III (University of Michigan, USA)
- Social Learning in Adaptive Sensor Networks
10:00 - 12:00
- Signal processing for Static and Dynamic Networks
- Chairs: Patrick J. Wolfe (Harvard University, USA) and Nadya Bliss (MIT Lincoln Laboratory, USA)
- Matched Filtering for Subgraph Detection in Dynamic Networks
- Attribute Fusion in a Latent Process Model for Time Series of Graphs
- A Shrinkage Approach to Tracking Dynamic Networks
- Learnability of Latent Position Network Models
- Graph Relational Features for Speaker Recognition and Mining
- Applying Classical Detection and Tracking Theory to Networks
- Time-Frequency and Time-Scale Analysis I
- Chair: Nadine Martin (GIPSA-lab, INPG-CNRS, France)
- Subspace-based Frequency Estimation Utilizing Prior Information
- Direction-of-Arrival Estimation of FM Sources Based on Robust Spatial Time-Frequency Distribution Matrices
- Time-frequency Dependent Voice Activity Detection Based on a Simple Threshold Test
- Parameter Estimation of Short-time Multi-component Signals Using Damped-amplitude & Polynomial-frequency Model
- Wavelet-Based Medical Infrared Image Noise Reduction Using Local Model for Signal and Noise
- Robust Estimation of the Memory Parameter of Gaussian Time Series Using Wavelets
- MP Based Detection of Synchronized Motions Across the Instrumental Climate Record
- Detection and Estimation Theory II
- Chair: Aleksandar Dogandzic (Iowa State University, USA)
- Nonnegative Signal Reconstruction From Compressive Samples Via a Difference Map ECME Algorithm
- Online Maximum-Likelihood Estimation for Latent Factor Models
- Robust Space-Time Parameters Estimation in Heavy Interference Environments
- Performance of an Optimal Receiver in the Presence of Alpha-Stable and Gaussian Noises
- Break Detection in Nonstationary Strongly Dependent Long Time Series
- Stability Analysis and Fast Damped-Gauss-Newton Algorithm for INDSCAL Tensor Decomposition
- Fast Level Set Estimation From Projection Measurements
- New Methods, Directions and Applications II
- Chair: David Mary (Université de Nice-Sophia Antipolis, France)
- Structuring of Large and Heterogeneous Texture Databases
- Nonlinear Estimation Using Central Difference Information Filter
- Clustered Radio Interferometric Calibration
- Evolutionary Techniques for the Synthesis of 2-D FIR Filters
- A Gradient-Like Variational Bayesian Algorithm
- Compressive RF Sensing Using a Physical Source of Entropy
- Entropic Priors for Hidden-Markov Model Classification
- Blind Extraction of Sparse Components Based on L0-norm Minimization
- Adaptive Systems and Signal Processing II
- Chair: Andrew C. Singer (University of Illinois at Urbana Champaign, USA)
- Filtering of Stochastic Signal Sets: A New Piecewise Interpolation Technique
- Performance Analysis of Signed Correlation Algorithm with Recursive Estimation of Signed Data Covariance for Fast Convergent and Robust Adaptive Filters
- Efficient Reconstruction of Block-Sparse Signals
- GLRT-Based Cooperative Spectrum Sensing for Cognitive Radio with Rank Information
- Novel Design of Oversampled GDFT Filter Banks for Application to Subband Based Blind Source Separation
- On the Optimal Solutions of Beamformer Assisted Acoustic Echo Cancellers
- Learning Theory and Pattern Recognition II
- Chair: Cédric Févotte (CNRS LTCI; TELECOM ParisTech, France);
- Multivariate Dictionary Learning and Shift & 2D Rotation Invariant Sparse Coding
- On Nonhomogeneous Activity Estimation in Gamma Spectrometry Using Sparse Signal Representation
- Sparse Bayesian Hierarchical Mixture of Experts
- High Order Neural Network Based Solution for Approximating the Average Likelihood Ratio
- Shape Priors for MAP Segmentation of Alloy Micrographs Using Graph Cuts
- Damped Gauss-Newton Algorithm for Nonnegative Tucker Decomposition
- pyMEF - A Framework for Exponential Families in Python
14:00 - 16:00
- Statistical Estimation in Large Digital Communication Systems
- Chair: Jamal Najim (CNRS, France)
- Performance of Statistical Inference Methods for the Energy Estimation of Multiple Sources
- Asymptotic Analysis of a Consistent Subspace Estimator for Observations of Increasing Dimension
- Detection Performance of Roy's Largest Root Test When the Noise Covariance Matrix is Arbitrary
- On the Consistency of the G-MUSIC DoA Estimator
- An Improved MUSIC Algorithm Based on Low Rank Perturbation of Large Random Matrices
- Network-MIMO Cellular Systems: Large-System Analysis and Low-Overhead Downlink Scheduling
- Adaptive Systems and Signal Processing III
- Chair: Pascal Larzabal (ENS-Cachan, PARIS, France)
- Overrelaxation of the Fast Iterative Shrinkage/Thresholding Algorithm for Fast Signal Recovery
- Performance Analysis of Passive Localization Strategies: Direct One Step Approach Versus 2 Steps Approach
- A Graphics Processing Method for Occlusion Reasoning in Monocular Tracking Using Nonparametric Belief Propagation
- Blind Source Separation of Discrete Finite Alphabet Sources Using a Single Mixture
- Adaptive Image Denoising by Rigorous BayesShrink Thresholding
- A Convex Combination of H2 and H-infinity Filters for Space-Time Adaptive Equalization
- A Class of Suboptimum Methods for Space-Time Adaptive Processing Using Empirical Characteristic Function
- Detection and Estimation Theory III
- Chair: Abdelhak M Zoubir (Darmstadt University of Technology, Germany)
- Conditional Probability and Correlation Coefficient Estimators for a First Order Bernoulli Process
- Exploiting Multiple Shift-Invariances in Harmonic Retrieval: The Incomplete Data Case
- Uniformly Reweighted Belief Propagation for Distributed Bayesian Hypothesis Testing
- Composite Hypothesis Tests for Sparse Parameters
- On Multidimensional Optimal Estimators: Linearity Conditions
- Sequential Multiple Target Detection Using Particle Filters
- Learning Theory and Pattern Recognition III
- Chair: Paul Honeine (Université de Téchnologie de Troyes, France)
- Estimation of Entropic Measures of Association
- On the Use of Sparsity for Recovering Discrete Probability Distributions From Their Moments
- Handling Uncertainties in SVM Classification
- Aircraft Classification with a Low Resolution Infrared Sensor
- PAC-Bayesian Learning with Asymmetric Cost
- A Risk Bound for Ensemble Classification with a Reject Option
- Weighted k-NN Graphs for Rényi Entropy Estimation in High Dimensions
- Time-Frequency and Time-Scale Analysis II
- Chair: Olivier Michel (INPG, France)
- A Wavelet-Based Filtering Approach to Functional Bipartite Ranking
- Shift Variance, Cyclostationarity and Expected Shift Variance in Multirate LPSV Systems
- Energy-Weighted Mean Shift Algorithm for Speech Source Separation
- On the Recurrence Plot Analysis Method Behaviour Under Scaling Transform
- The Time-Frequency Poles of a Random System
- Biosignal Processing and Medical Imaging II
- Chair: Mirek Pawlak (University of Manitoba, Canada)
- On Transferring Spatial Filters in a Brain Reading Scenario
- A CANDECOMP/PARAFAC Approach to the Estimation of Environmental Pollutant Concentrations Using Biosensors
- Statistical Assessment of Image Symmetries
- Bayesian Segmentation of Chest Tumors in PET Scans Using a Poisson-Gamma Mixture Model
- FMRI Functional Connectivity Estimators Robust to Region Size Bias
- Multivariate Approach for Brain Decomposable Connectivity Networks
- Efficient Implementation of the EM Algorithm for Mammographic Image Texture Analysis with Multivariate Gaussian Mixtures
- Identification of Brain Regions Involved in Epilepsy Using Common Spatial Pattern