Program for Second IEEE Workshop on Computational Advances in Multisensor Adaptive Processing

Tuesday, December 11

5:00 PM - 8:00 PM

Registration at reception

6:20 PM - 8:00 PM

Welcome reception

Wednesday, December 12

8:00 AM - 5:30 PM

Registration day 1

8:30 AM - 8:50 AM

Opening remarks

9:00 AM - 9:45 AM

Louis L. Scharf, "Detection, Estimation, and Beamforming in Iteratively Expanding Subspaces"

Rank reduction is now a firmly established principle for managing the bias-variance trade in signal processing. But rank expansion is an equivalent idea. Moreover, rank expansions can be executed without resort to orthogonal bases. In this talk we establish general principles for rank expansion, establish the underlying algebra and geometry, and show the connection between conjugate direction and multistage filters. We establish a convergence result for specially structured problems. Then we work out examples in CDMA wireless and multisensor array processing to illustrate the importance of the result.

10:00 AM - 12:00 PM

Adaptive Sensing

10:00 Semi-Supervised Life-Long Learning With Application to Sensing
Lawrence Carin (Duke University, USA)
10:20 Hybrid Adaptive Receive Processing for Multistatic Radar
Shannon D Blunt (University of Kansas, USA); William Dower (University of Kansas, USA); Karl Gerlach (NRL, USA)
10:40 Adaptive Sensing Of Dynamic Target State In Heavy Sea Clutter
Ying Li (Arizona State University, USA); Sandeep Sira (Arizona State University, USA); Bill Moran (University of Melbourne, Australia); Sofia Suvorova (University of Melbourne, Australia); Douglas Cochran (Arizona State University, USA); Darryl Morrell (Arizona State University, USA); Antonia Papandreou-Suppappola (Arizona State University, USA)
11:00 Multi-Channel Parametric Estimator Fast Block Matrix Inverses: Stationary and Non-Stationary Cases
Lawrence Marple (Oregon State University, USA); Muralidhar Rangaswamy (Air Force Research Laboratory, USA); Philip Corbell (Air Force Research Laboratory, USA)
11:20 Particle Filtering-based Target Tracking in Binary Sensor Networks using Adaptive Thresholds
Mahesh Vemula (Stony Brook University, USA); Monica F. Bugallo (Stony Brook University, USA); Petar Djuric (State University of New York at Stony Brook, USA)
11:40 On Adaptive Sensing of Complex Communication Channels
Daniel R Fuhrmann (Washington University in St. Louis, USA)

Minimal bounds in estimation

10:00 Analysis of the Cramer-Rao Bound integrating a prior-knowledge
Rémy Boyer (CNRS, Université Paris-Sud (UPS), Supelec, France)
10:20 True Cramer-Rao Bound for Estimating Synchronization Parameters from a Linearly Modulated Bandpass Signal with Unknown Data Symbols
Nele Noels (Ghent University, Belgium); Marc Moeneclaey (Ghent University, Belgium)
10:40 Expected likelihood estimation: Asymptotic properties for ``stochastic'' complex Gaussian models
Yuri Abramovich (Defence Science and Technology Organisation (DSTO), Australia); Ben A. Johnson (JORN Technical Director, Australia)
11:00 Barankin bound for multiple change-point estimation
Patricio S La Rosa (Washington University in St Louis, USA); Alexandre Renaux (Washington University in St. Louis, USA); Arye Nehorai (Washington University in St. Louis, USA)
11:20 Computable Lower Bounds for Deterministic Parameter Estimation.
Eric Chaumette (ONERA, France); Jérôme Galy (LIRMM Montpellier, France); François Vincent (ENSICA Toulouse, France); Pascal Larzabal (ENS-Cachan, PARIS, France)
11:40 A Bayesian estimation bound based on the optimal bias function
Zvika Ben-Haim (Technion - Israel Institute of Technology, Israel); Yonina C. Eldar (Technion---Israel Institute of Technology, Israel)

1:00 PM - 1:45 PM

Georgios Giannakis, “Distributed Estimation Using Wireless Sensor Networks”

Envisioned applications of wireless sensor networks (WSNs) include surveillance, monitoring and tracking tasks. These motivate well decentralized estimation and smoothing of deterministic and (non)stationary random signals using (possibly correlated) observations collected across distributed sensors. In this talk we present state-of-the-art algorithms for consensus-based distributed estimation using ad hoc WSNs where sensors communicate over single-hop noisy links. The novel framework reformulates basic estimation criteria such as least-squares, maximum-likelihood, maximum a posteriori, and linear mean-square error, as decomposable, constrained, convex optimization problems that are amenable to distributed solutions. The resultant distributed estimators are provably convergent to their centralized counterparts and robust to communication noise. Besides stationary, the framework encompasses adaptive filtering and smoothing of non-stationary signals through distributed LMS and Kalman filtering.

2:00 PM - 3:40 PM

The Bootstrap and Its Applications in Signal Processing

14:00 Bayesian Processing for the Detection of Radioactive Contraband from Uncertain Measurements
James V Candy (Lawrence Livermore National Laboratory, USA); Kenneth Sale (Lawreence Livermore National Laborator, USA); Brian L. Guidry (Lawrence Livermore National Laboratory, USA); Eric Breitfeller (Lawrence Livermore National Laboratory, USA); Douglas Manatt (Lawrence Livermore National Laboratory, USA); David H Chambers (Lawrence Livermore National Laboratory, USA)
14:20 Bootstrapping Autoregressive Plus Noise Processes
Christian Debes (Darmstadt University of Technology, Germany); Abdelhak Zoubir (Darmstadt University of Technology, Germany)
14:40 Determining the number of propagation paths from broadband MIMO measurements via bootstrapped likelihoods and the false discovery rate criterion - Part I: Methodology
Pei-Jung Chung (The University of Edinburgh, United Kingdom); Dirk Maiwald (ATLAS ELEKTRONIK GmbH, Germany); Nicolai Czink (Telecommunications Research Center Vienna (ftw.), Austria); Christoph F Mecklenbräuker (Vienna University of Technology, Austria); Bernard Fleury (Aalborg University, Denmark)
15:00 Determining the number of propagation paths from broadband MIMO measurements via bootstrapped likelihoods and the false discovery rate criterion - Part II: Application
Nicolai Czink (Telecommunications Research Center Vienna (ftw.), Austria); Pei-Jung Chung (The University of Edinburgh, United Kingdom); Dirk Maiwald (ATLAS ELEKTRONIK GmbH, Germany); Bernard Fleury (Aalborg University, Denmark); Christoph F Mecklenbräuker (Vienna University of Technology, Austria)
15:20 The "hook and loop" resampling plane
Daoud Robert Iskander (RDiVisTech, Australia); Weaam Alkhaldi (Technische Universit¨at Darmstadt, Germany)

Applications in Wireless Communications

14:00 A Particle Filter Blind Equalization Algorithm for Frequency-Selective MIMO Channels with Unknown Noise Variance
Claudio J Bordin Jr. (Instituto Tecnológico de Aeronáutica, Brazil); Marcelo Bruno (ITA, Brazil)
14:20 Robust Transceiver Optimization for Multiuser MISO Broadcast Systems with MSE Targets
Nikola Vucic (Fraunhofer HHI, Germany); Holger Boche (Technical University of Berlin, Germany)
14:40 Adaptive orthogonal beamforming for the MIMO broadcast channel
Jonathan Duplicy (Université catholique de Louvain, Belgium); Daniel P Palomar (Hong Kong University of Science and Technology, Hong Kong); Luc Vandendorpe (University of Louvain, Belgium)
15:00 Large-System Analysis of Static Multiuser Detection with an Unknown Number of Users
Adrià Tauste (University of Cambridge, United Kingdom); Ezio Biglieri (Universitat Pompeu Fabra, Barcelona, Spain)
15:20 Optimal Decentralized Linear Precoding for Wideband Non-Cooperative Interference Systems Based on Game Theory
Gesualdo Scutari (University of Rome "La Sapienza", Italy); Daniel P Palomar (Hong Kong University of Science and Technology, Hong Kong); Sergio Barbarossa (University of Rome, Italy)

4:00 PM - 5:20 PM

MIMO Radar

16:00 MIMO SAR Imaging: Signal Synthesis and Receiver Design
Jian Li (University of Florida, USA); Xiayu Zheng (UFL, USA); Petre Stoica (Uppsala University, Sweden)
16:20 Cross-Channel Interference in Surveillance Radar Networks
Maria S. Greco (University of Pisa, Italy); Fulvio Gini (University of Pisa, Italy); Alfonso Farina (SELEX-SI, Italy)
16:40 Adaptive Transmit/Receive Schemes for MIMO Radar
Antonio De Maio (University of Naples "Federico II", Italy); Marco Lops (University of Cassino, Italy)
17:00 MIMO radar, theory and experiments
Pier Francesco Sammartino (UCL - University College London, United Kingdom); Chris J Baker (Australian National University, Australia); Muralidhar Rangaswamy (Air Force Research Laboratory, USA)

Physics-Based Signal Processing 1

16:00 In Situ Compressive Sensing
Lawrence Carin (Duke University, USA)
16:20 Inverse scattering by compressive sensing and signal subspace methods
Edwin Marengo (Northeastern University, USA)
16:40 Antenna Selection Training in MIMO-OFDM/OFDMA Cellular Systems
Neelesh B. Mehta (Indian Institute of Science, India); Andreas Molisch (Mitsubishi Electric Research Laboratory, USA); Jinyun Zhang (MERL, USA)
17:00 Estimation of Combustion Information by Crankshaft Torque Sensing in an Internal Combustion Engine
Tomas McKelvey (Chalmers University of Technology, Sweden); Ingemar Andersson (Chalmers University of Technology, Sweden); Mikael Thor (Chalmers University of Technology, Sweden)

Thursday, December 13

8:00 AM - 5:30 PM

Registration day 2

9:00 AM - 9:45 AM

Richard Baraniuk, “Compressive Signal Processing”

Sensors, signal processing hardware, and algorithms are under increasing pressure to accommodate ever larger and higher-dimensional data sets; ever faster capture, sampling, and processing rates; ever lower power consumption; communication over ever more difficult channels; and radically new sensing modalities. This talk will overview our recent work on "Compressive Sensing", a new approach to data acquisition in which analog signals are digitized for processing not via uniform sampling but via inner products with random test functions. The implications of compressive sensing are promising for many applications and enable the design of new kinds of analog-to-digital converters, imaging systems and cameras, sensor networks, and radar and sonar systems.

10:00 AM - 12:00 PM

Compressed Sensing

10:00 Compressed Sensing Using Prior Information
Ricardo von Borries (University of Texas at El Paso, USA); Cristiano Jacques Miosso (University of Texas at El Paso, USA)
10:20 The Continuous Joint Sparsity Prior for Sparse Representations: Theory and Applications
Moshe Mishali (Technion, Israel); Yonina C. Eldar (Technion---Israel Institute of Technology, Israel)
10:40 Tree-based majorize-maximize algorithm for compressed sensing with sparse-tree prior
Minh Do (University of Illinois at Urbana-Champaign, USA)
11:00 Multichannel Thresholding With Sensing Dictionaries
Rémi Gribonval (INRIA, France); Pierre Vandergheynst (EPFL, Switzerland)
11:20 Random Convolution for Compressive Sampling
Justin K Romberg (Georgia Tech, USA)
11:40 Designing Compressive Sensing DNA Microarrays
Mona Sheikh (Rice University, USA); Olgica Milenkovic (University of Illinois, USA); Richard Baraniuk (Rice University, USA)

Adaptive and Real-Time Systems

10:00 Real-Time Human Body Posture Estimation Using a Stereo Vision Embedded System
Young Keun Kim (Korea University of Science and Technology, Korea); Ho Chul Shin (Electronics and Telecommunication Research Institude, Korea); Jae Il Cho (Electronics and Telecommunication Research Institude, Korea)
10:20 Monte Carlo Initialization for Multi-Sensor Bearing Only Tracking
Alon Shalev Housfater (University of Toronto, Canada); Xiao-Ping Zhang (Ryerson University, Canada)
10:40 Basis Expansion Adaptive Filters for Time-Varying System Identification
Luca Rugini (University of Perugia, Italy); Geert Leus (Delft University of Technology, The Netherlands)
11:00 Reduced Mode-Tree Expansion Rates in Jump Markov Estimators
Thomas R Kronhamn (Saab Microwave Systems, Sweden)
11:20 Wireless ECG Monitor
Eric R. Grigorian (University fo Alabama in Huntsville, USA); Reza Adhami (The University of Alabama in Huntsville, USA); Ossama Toutonji (University of Alabama in Huntsville, USA)
11:40 Signal Processing Aspects of Real-Time DNA Microarrays
Haris Vikalo (The University of Texas at Austin, USA); Babak Hassibi (California Institute of Technology, USA); Arjang Hassibi (The University of Texas at Austin, USA)

12:00 PM - 1:00 PM

Box lunch + panel discussion

1:00 PM - 1:45 PM

Michael Unser, “Recent advances in biomedical image reconstruction”

State-of-the art image reconstruction algorithms are typically derived from the optimization of a cost functional that includes a regularization term whose role is to favor solutions with desirable properties. Another important aspect is the discretization of the inverse problem which can be accomplished by projecting the solution on an adequate set of basis functions; e.g., wavelets, splines or radial basis functions. In this presentation, we will discuss three complementary strategies (sparse representation, invariance to coordinate transformations, and physical modeling) for narrowing down the specification of the regularization functional as well as the selection of the basis functions. We will argue that the two latter aspects are intimately related, which justifies the use of “joint” techniques such as wavelet-regularized image reconstruction. We will illustrate our point with a number of concrete examples, starting with the simplest task of image denoising. We will also present new algorithms for the deconvolution of 3D fluorescence micrographs, the reconstruction of vector fields from incomplete pulsed-mode echo Doppler data, the reconstruction of dynamic PET data, and the extraction of neuronal activation profiles in functional magnetic resonance imaging.

2:00 PM - 3:40 PM

Physics-Based Signal Processing 2

14:00 Integrated Imaging and Inversion of Multi-physics Data for Exploration Geophysics Applications
Wenyi Hu (Schlumberger Doll Research, USA)
14:20 A Statistically Based Preconditioner for Two-Dimensional Microwave Tomography
Sven Nordebo (Vaxjo University, Sweden); Andreas Fhager (Chalmers University of Technology, Sweden); Mats Gustafsson (Lund University, Sweden); Mikael Persson (Chalmers University of Technology, Sweden)
14:40 Radar Estimation of Building Layouts Using Jump-Diffusion
Marija Nikolic (Washington University in Saint Louis, USA); Mathias Ortner (Washington University in St. Louis, USA); Arye Nehorai (Washington University in St. Louis, USA); Antonije Djordjevic (University of Belgrade, Serbia)
15:00 Waveform preconditioning for clutter rejection in multipath for sparse distributed apertures
Trond Varslot (Australian National University, Australia); Birsen Yazici (Rensselaer Polytechnic Institute, USA); Can Evren Yarman (WesternGeco - Schlumberger, USA); Margaret Cheney (Rensselaer Polytechnic Institute, USA); Louis Scharf (Colorado State, USA)
15:20 Wavefront Adaptive Sensing for Radar Spread Clutter Mitigation
Igal Bilik (Duke University, USA); Oguz Kazanci (Duke University, USA); Jeffrey L Krolik (Duke University, USA)

Convex Optimization and Semidefinite Relaxation

14:00 Joint Multicast Beamforming and Admission Control
Nikos Sidiropoulos (Technical University of Crete, Greece); Evaggelia Matskani (Technical University of Crete, Greece); Zhi-Quan Luo (University of Minnesota, USA); Leandros Tassiulas (University of Thessaly, Greece)
14:20 Approximation Bound for Semidefinite Relaxation Based Multicast Transmit Beamforming
Tsung-Hui Chang (National Tsing Hua University, Taiwan); Zhi-Quan Luo (University of Minnesota, USA); Chong-Yung Chi (National Tsing Hua University, Taiwan)
14:40 Computing the Nash bargaining solution for the 2x2 frequency selective interference channel
Ephraim Zehavi (Bar-Ilan University, Israel); Amir Leshem (Bar-Ilan University, Israel)
15:00 Distributed MIMO Decoding using Semidefinite Relaxation
Hao Zhu (University of Minnesota, USA); Alfonso Cano Pleite (University of Minnesota, USA); Georgios B. Giannakis (University of Minnesota,, USA)
15:20 Bounded Error Estimation: A Chebyshev Center Approach
Yonina C. Eldar (Technion---Israel Institute of Technology, Israel)

4:00 PM - 5:40 PM

Non-linear optimization in signal processing and communications

16:00 Global D.C. Optimization for Multi-User Interference Systems
Yang Xu (McGill University, Canada); Tho Le-Ngoc (McGill University, Canada)
16:20 Robust Multi-antenna Broadcasting with Imperfect Channel State Information
Imran Wajid (Darmstadt University of Technology, Germany); Alex Gershman (Darmstadt University of Technology, Germany); Sergiy A. Vorobyov (University of Alberta, Canada); Yasser A. Karanouh (Darmstadt University of Technology, Germany)
16:40 MIMO Relaying for Multi-point to Multi-point Communication in Wireless Networks
Batu Krishna Chalise (Universitè catholique de Louvain, Belgium); Luc Vandendorpe (University of Louvain, Belgium); Jerome Louveaux (Universite Catholique de Louvain, Belgium)
17:00 Linear Precoders for OSTBC MIMO Systems with Correlated Rayleigh Fading Channels based on Convex Optimization
Sergiy A. Vorobyov (University of Alberta, Canada)
17:20 An Effective Global Optimization Algorithm for Wireless MIMO Channel Estimation
Hoang D. Tuan (UNSW, Australia); Ha Nguyen (University of Saskatchewan, Canada); Nam Tran Nguyen (University of Nebraska-Lincoln, USA); Vu Nguyen (The University of New South Wales, Australia)

Sensor Networks

16:00 Data Extraction from Wireless Sensor Networks using Fountain Codes
Anand R. Oka (Research In Motion, Canada); Lutz Lampe (University of British Columbia, Canada)
16:20 Remote Sensing Signature Fields Reconstruction via Robust Regularization of Bayesian Minimum Risk Technique
Yuriy V. Shkvarko (Cinvestav Jalisco, Mexico); Ivan E. Villalon-Turrubiates (University of Guadalajara, Mexico); Jose L. Leyva-Montiel (Cinvestav Jalisco, Mexico)
16:40 Modeling Count Data From Multiple Sensors: A Building Occupancy Model
Jon Hutchins (UC Irvine, USA); Alexander T. Ihler (UC Irvine, USA); Padhraic Smyth (UC Irvine, USA)
17:00 Optimal Distributed Decision over Wireless Sensor Networks Affected by Multipath Fading
Gesualdo Scutari (University of Rome "La Sapienza", Italy); Sergio Barbarossa (University of Rome, Italy)
17:20 Robust autonomous detection of the faulty sensors of a sensor array
Siddhartha Tarun Ghosh (University of Kent, United Kingdom); Alex A Freitas (University of Kent, United Kingdom); Ian Marshall (Lancaster University, United Kingdom)

7:00 PM - 9:00 PM

Banquet

Friday, December 14

8:00 AM - 12:00 PM

Registration day 3

9:00 AM - 9:45 AM

Alex Gershman, “Optimization-boosted beamforming”

The aim of this talk is to give an overview of recent advances in robust beamforming based on convex optimization and worst-case designs. In the first part of the talk, the problem of robust receive beamformer design is considered and its applications to designing robust MIMO space-time receivers are discussed. In the second part of the talk, the problem of robust transmit beamforming is addressed in detail in application to both the unicasting and broadcasting scenarios.

10:00 AM - 12:00 PM

Monte Carlo Methods for multisensor processing

10:00 Estimation of Two-dimensional Class A Noise Model Parameters By Markov Chain Monte Carlo
Yu-Zhong Jiang (Huazhong University of Science and Technology, P.R. China); Xiulin Hu (Department of Electronics and Information Engineering, P.R. China)
10:20 Multichannel Particle Filters for Tracking a Frequency Hopped Signal
Nikos Sidiropoulos (Technical University of Crete, Greece); Alexandros Valyrakis (Technical University of Crete, Greece); Ananthram Swami (Army Research Lab., USA)
10:40 Implementation of Batch-based Particle Filters for Multi-sensor Tracking
Rajbabu Velmurugan (IIT Bombay, India); Volkan Cevher (Rice University, USA); James H McClellan (Georgia Institute of Technology, USA)
11:00 Bayesian Filtering on the Stiefel Manifold
Frank Tompkins (Harvard University, USA); Patrick J. Wolfe (Harvard University, USA)
11:20 Bearings-only tracking with biased measurements
Monica F. Bugallo (Stony Brook University, USA); Ting Lu (Stony Brook University, USA); Petar Djuric (State University of New York at Stony Brook, USA)
11:40 Sequential Monte Carlo Methods for Shallow Water Tracking Using Multiple Sensors with Adaptive Frequency Selection
Jun Zhang (Arizona State University, USA); Antonia Papandreou-Suppappola (Arizona State University, USA)

Multichannel Estimation

10:00 Sparse Bayesian Estimation of Superimposed Signal Parameters
Dmitriy Shutin (Princeton University, USA); Gernot Kubin (Technical University of Graz, Austria)
10:20 A Lower Bound for Sequential Estimators
Rémy Boyer (CNRS, Université Paris-Sud (UPS), Supelec, France)
10:40 Experimental studies on direction finding via blind beamforming
Jie Zhuo (Northwestern Polytechnical University, P.R. China)
11:00 Maximum a posteriori estimation of time delay
Bowon Lee (Hewlett-Packard Laboratories, USA); Antonius Kalker (Hewlett-Packard, USA)
11:20 Reduction of Spatial Sampling Requirement in Sound-Based Synthesis
Minh Do (University of Illinois at Urbana-Champaign, USA)
11:40 Fast Low-Rank Approximation for Covariance Matrices
Mohamed-Ali Belabbas (Harvard University, USA); Patrick J. Wolfe (Harvard University, USA)

12:00 PM - 1:00 PM

Box lunch

1:00 PM - 1:45 PM

Asu Ozdaglar, “Networks’ Challenge: Where Game Theory Meets Network Optimization”

As the need for global broadband access to information is increasing, we are witnessing an unprecendented growth in today's large-scale communication networks, such as the Internet, together with a shift towards operation by multiple independent and autonomous administrative domains. Different parts of these networks operate on the basis of different decentralized information, and serve heterogeneous users with diverse set of service requirements. Traditional network optimization approach, which entails a linear or convex programming formulation of a single objective among obedient users, is no longer sufficient for the analysis of these networks. The operation and control of today's networks require a new framework combining elements from distributed convex and non-convex optimization theory with game-theoretic (multi-agent) modeling.

2:00 PM - 3:20 PM

Distributed Signal Processing

In Memory of Sergio Servetto
14:00 A Collaborative Training Algorithm for Multi-Sensor Adaptive Processing
Joel Predd (RAND Corporation, USA); Sanjeev Kulkarni (Princeton University, USA); H. Vincent Poor (Princeton University, USA)
14:20 Enabling Delay-Sensitive Applications over Sensor Networks Using a Two-Tier Architecture and Multi-Antenna Cluster Heads
Lingjia Liu (Samsung Electronics, USA); Jean-Francois Chamberland (Texas A&M University, USA); Khalid A. Qaraqe (Texas A&M University at Qatar, USA)
14:40 Compress-and-Forward Relaying over Parallel Gaussian Channels
Woohyuk Chang (KAIST, Korea); Shiva Prasad Kotagiri (Xilinx Inc, USA); J. Nicholas Laneman (University of Notre Dame, USA); Sae-Young Chung (KAIST, Korea); Yong H. Lee (KAIST, Korea)
15:00 Incremental Robbins-Monro Gradient Algorithm for Regression in Sensor Networks
SundharRam Srinivasan (University of Illinois at Urbana Champaign, USA); Venugopal Veeravalli (University of Illinois at Urbana-Champaign, USA); Angelia Nedic (University of Illinois at Urbana-Champaign, USA)