CAMSAP 2013
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IEEE

Program

Time Caraibe I Caraibe II Caraibe III

Sunday, December 15

09:00 am-12:00 pm Convex and Non-convex Approaches for Low-Dimensional Models    
01:30 pm-04:30 pm Signal Processing for Power Grid    
04:30 pm-06:30 pm   Student Poster Competition  

Monday, December 16

09:00 am-09:45 am Small Sample Community Detection in Massive Data Sets    
10:00 am-12:00 pm New Sensing and Inference Methods for Large-Scale Data   Track-Before-Detect (TBD) and Multi-Frame Detection (MFD)
01:00 pm-01:45 pm Alternating Direction Optimization for Imaging and Machine Learning Problems    
02:00 pm-04:00 pm Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques   Distributed Statistical Inference
04:15 pm-06:15 pm Computational Advances in Array Processing II: Adaptive Beamforming and Radar Distributed and Sensor Networks,
Multidimensional and Image Processing
Signal Processing for Big Data

Tuesday, December 17

09:00 am-09:45 am Compressive Sensing for Urban Radar    
10:00 am-12:00 pm Superresolution Sensing and Reconstruction   Tensor-based Methods for Multi-Sensor Signal Processing
01:00 pm-01:45 pm Tensor tools for multi-sensor processing. Conceptual and computational advances.    
02:00 pm-04:00 pm Sparse and Low-dimensional Signal Processing   Geophysical Signal Processing
04:15 pm-06:15 pm Signal Processing in Social Networks Beamforming and Array Signal Processing Advances in Sequential Monte Carlo Methods

Wednesday, December 18

09:00 am-09:45 am Satellite Communications - Signal Processing Challenges    
10:00 am-12:00 pm Spectrum Sensing for Cognitive Radio Systems   Radar Array Processing and STAP
01:00 pm-01:45 pm Cyber Attacks on a Power Grid and Counter Measures    
02:00 pm-04:00 pm Signal and Information Processing in Energy Grids   Cognitive Radio and Radar Networks
04:15 pm-06:35 pm Estimation, Learning, and Optimization for the Smart Grids   Wireless Communications

Sunday, December 15 9:00 - 12:00

Convex and Non-convex Approaches for Low-Dimensional Models

Tutorial
Mário A. T. Figueiredo, University of Lisbon and Instituto de Telecomunicações, Portugal, and Volkan Cevher, EPFL, Switzerland

Many natural and man-made signals can be well modeled as having a few degrees of freedom relative to their "size"/"dimension", due to natural parameterizations or constraints; examples range from the classical band-limited signals that have been studied for many decades, to collections of video and acoustic signals observed from multiple viewpoints and locations in a network-of-sensors and to internet "signals" generated with limited network connectivity. The inherent low-dimensional structure of such signals may be mathematically modeled via combinatorial and/or geometric concepts, such as sparsity, unions-of-subspaces, manifolds, or mixtures of factor analyzers, and are revolutionizing the way we address inverse problems (e.g., signal recovery, parameter estimation, or structure learning) from dimensionality-reduced or incomplete data.

Addressing inverse problems by using a low dimensional model (LDM) to arbitrate the solution among infinitely many possible candidates for the unknown signal (i.e., as a prior, in Bayesian terms) typically leads to optimization problems with exponential complexity. Surprisingly, convex relaxations of specific LDM (priors) produce solutions that are provably close to (or even exactly the same as) an exhaustive search result, at the cost of a slight penalty in the number of required observations. For example, theoretically, using the 1-norm or the nuclear-norm is analogous to seeking the sparsest solution in compressive sensing (CS) or finding the minimum rank solution in matrix completion (MC), respectively, both known to be NP-hard problems. Unfortunately, many other interesting LDMs are intrinsically combinatorial and cannot be "convexified" (or can only be approximated up to constant factors). Such problems require explicitly combinatorial approximation algorithms that can go beyond simple LDM selection heuristics towards provable solution quality as well as runtime/space bounds.

Sunday, December 15 1:30 - 4:30

Signal Processing for Power Grid

Tutorial
Georgios B. Giannakis, University of Minnesota, USA

The pressing need to modernize the aging power grid has culminated into the smart grid vision, which entails the widespread use of state-of-the-art sensing, control, and communication technologies. The deployment of these smart technologies calls for novel grid monitoring and optimization techniques. This tutorial focuses on how current research challenges in power grid monitoring and optimization can be addressed through signal processing, communications, and networking toolboxes. After an overview of fundamental power engineering concepts, a wide range of modern research topics will be presented, including power system state estimation, phasor measurement units, line outage identification, price and load forecasting, economic operation of power systems, demand response, electric vehicles, and renewable energy management.

Sunday, December 15 4:30 - 6:30

Student Poster Competition

Syntactic Track-Before-Detect
Mustafa Fanaswala (Microsoft, USA); Vikram Krishnamurthy (Cornell Tech, USA)
Joint-sparse Recovery in Compressed Sensing with Dictionary Mismatch
Zhao Tan, Peng Yang and Arye Nehorai (Washington University in St. Louis, USA)
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise
Feng Yin (The Chinese University of Hong Kong (Shenzhen), P.R. China); Ang Li (Technische Universität Darmstadt, Germany); Carsten Fritsche and Fredrik Gustafsson (Linköping University, Sweden); Abdelhak M Zoubir (Darmstadt University of Technology, Germany)
An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals
Jeremy Vila and Philip Schniter (The Ohio State University, USA)
Relative Velocity Estimation Using Multidimensional Scaling
Raj Thilak Rajan (IMEC, NL & TU Delft, The Netherlands); Geert Leus (Delft University of Technology, The Netherlands); Alle Jan van der Veen (Delft University, The Netherlands)
False-alarm regulation for target detection in Hyperspectral Imaging
Joana Frontera (CEA, France); Frederic Pascal (CentraleSupélec, France); Jean-Philippe Ovarlez (ONERA & Centrale-Supelec/SONDRA, France)
Reduced-Complexity Distributed Beamforming Algorithm for Individual Relay Power Constraints
Jens Steinwandt and Martin Haardt (Ilmenau University of Technology, Germany)
Cyclostationary Detection from Sub-Nyquist Samples for Cognitive Radios: Model Reconciliation
Deborah Cohen (Technion - Israel Institute of Technology, Israel); Eric Rebeiz (UCLA, USA); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel); Danijela Cabric (University of California Los Angeles, USA)
Bayesian Cyclic Bounds for Periodic Parameter Estimation
Eyal Nitzan (Ben-Gurion University of the Negev, Israel); Tirza Routtenberg (Ben Gurion University of the Negev, Israel); Joseph Tabrikian (Ben-Gurion University of the Negev, Israel)
Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters
Zhaoshi Meng (University of Michigan, USA); Dennis Wei (IBM T. J. Watson Research Center, USA); Ami Wiesel (The Hebrew University of Jerusalem, Israel); Alfred Hero III (University of Michigan, USA)
Resource-Efficient Parametric Recovery of Linear Time-varying Systems
Andrew Harms (Duke University, USA); Waheed U. Bajwa (Rutgers University-New Brunswick, USA); Robert Calderbank (Duke University, USA)
To Convexify or Not? Regression with Clustering Penalties on Graphs
Marwa El Halabi and Luca Baldassarre (EPFL, Switzerland); Volkan Cevher (Ecole Polytechnique Federale de Lausanne, Switzerland)

Monday, December 16 9:00 - 9:45

Small Sample Community Detection in Massive Data Sets

Plenary
Alfred O. Hero III, University of Michigan, Ann Arbor, USA
Chair: Georgios B. Giannakis (University of Minnesota, USA)

We live in an era of large networks generating lots of data whose topologies are important but are only partially known to us. Detection of communities in such networks involves hypothesis testing on nodes and edges. In many networks, edges reflect the existence of significant pairwise correlation or partial correlation between data generated at the nodes. When the thresholded sample correlation is used to construct the network this problem is called correlation mining. For small sample size and large number of nodes there may be many false positives that prevent accurate discovery of topology and community structure. This talk will review the correlation mining problem and present applications in genomics, computational neuroscience, and the analysis of financial time series.

Monday, December 16 10:00 - 12:00

New Sensing and Inference Methods for Large-Scale Data

Special session
Chairs: Volkan Cevher (Ecole Polytechnique Federale de Lausanne, Switzerland), Jarvis D. Haupt (University of Minnesota, USA), Philip Schniter (The Ohio State University, USA)
On GROUSE and Incremental SVD
Laura Balzano (University of Michigan, USA); Stephen J Wright (University of Wisconsin, USA)
An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals
Jeremy Vila and Philip Schniter (The Ohio State University, USA)
Locating Salient Items in Large Data Collections With Compressive Linear Measurements
Jarvis D. Haupt (University of Minnesota, USA)
Lost Without a Compass: Nonmetric Triangulation and Landmark Multidimensional Scaling
Mark Davenport (Georgia Institute of Technology, USA)
Beyond Sparsity: Universally Stable Compressed Sensing when the number of `free' values is less than the number of observations
Galen Reeves (Duke University, USA)
To Convexify or Not? Regression with Clustering Penalties on Graphs
Marwa El Halabi and Luca Baldassarre (EPFL, Switzerland); Volkan Cevher (Ecole Polytechnique Federale de Lausanne, Switzerland)

Track-Before-Detect (TBD) and Multi-Frame Detection (MFD)

Special session
Chair: Marco Lops (University of Cassino & CNIT - Consorzio Universitario Nazionale per le Telecomunicazioni, Italy)
A multitarget range-azimuth tracker for maritime applications
Francesco Bandiera and Marco Del Coco (University of Salento, Italy); Giuseppe Ricci (University of Salento)
ML-PMHT Threshold Determination for False Track Probability Using Extreme-Value Analysis
Steven Schoenecker (Naval Undersea Warfare Center Division Newport, USA); Yaakov Bar-Shalom and Peter Willett (University of Connecticut, USA)
General multi-object filtering and association measure
Jeremie Houssineau (National University of Singapore, Singapore); Pierre DeL Moral (INRIA, France); Daniel Clark (Telecom SudParis, France)
Tracking Position and Orientation of a Mobile Rigid Body
Sundeep Prabhakar Chepuri (Delft University of Technology, The Netherlands); Andrea Simonetto (IBM Research Ireland, Ireland); Geert Leus (Delft University of Technology, The Netherlands); Alle Jan van der Veen (Delft University, The Netherlands)
Syntactic Track-Before-Detect
Mustafa Fanaswala (Microsoft, USA); Vikram Krishnamurthy (Cornell Tech, USA)
A track-before-detect algorithm with successive track cancellation
Emanuele Grossi (University of Cassino and Southern Lazio & Consorzio Nazionale Inter-universitario per le Telecomunicazioni (CNIT), Italy); Marco Lops (University of Cassino & CNIT - Consorzio Universitario Nazionale per le Telecomunicazioni, Italy); Luca Venturino (Universita' degli Studi di Cassino e del Lazio Merdionale & Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT), Italy)

Monday, December 16 1:00 - 1:45

Alternating Direction Optimization for Imaging and Machine Learning Problems

Plenary
Mário A. T. Figueiredo, University of Lisbon and Instituto de Telecomunicações, Portugal
Chair: Volkan Cevher (Ecole Polytechnique Federale de Lausanne, Switzerland)

This talk will review our recent work on the application of the alternating direction method of multipliers (ADMM) to several imaging inverse problems. We will show how ADMM provides an efficient and modular optimization tool, which allows addressing a wide variety of problems (namely, image restoration and reconstruction, under Gaussian, Poissonian, or multiplicative noise) using several different types of regularizers (such as total variation, frame-based analysis, frame-based synthesis, or hybrid/balanced analysis-synthesis regularization), and formulations (constrained or unconstrained optimization). We will describe very recent work on the use of ADMM for blind deconvolution and in dealing efficiently with non-periodic boundary conditions. Finally (time permitting), we will also show how ADMM can be used to efficiently perform maximum a posteriori inference in probabilistic graphical models.

Monday, December 16 2:00 - 4:00

Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques

Special session
Chair: Sergiy A. Vorobyov (Aalto University, Finland)
Low-Complexity Robust Data-Dependent Dimensionality Reduction Based on Joint Iterative Optimization of Parameters
Peng Li (Shanghai Bell, Germany); Rodrigo C. de Lamare (Pontifical Catholic University of Rio de Janeiro & University of York, Brazil)
Iterative root-MUSIC algorithm for DOA estimation
Mahdi Shaghaghi (University of Toronto, Canada); Sergiy A. Vorobyov (Aalto University, Finland)
Source Number Detection with Nested Arrays and ULAs Using Jackknifing
Keyong Han and Arye Nehorai (Washington University in St. Louis, USA)
A Novel Method of DOA Tracking by Penalized Least Squares
Ashkan Panahi (North Carolina State University, USA); Mats Viberg (Chalmers University of Technology, Sweden)
Kronecker Sum Decompositions of Space-Time Data
Kristjan Greenewald (University of Michigan, USA); Theodoros Tsiligkaridis (MIT Lincoln Laboratory, USA); Alfred Hero III (University of Michigan, USA)
Adaptive Waveform Design for Target Enumeration in Cognitive Radar
Joseph Tabrikian (Ben-Gurion University of the Negev, Israel)

Distributed Statistical Inference

Special session
Chair: Ioannis Schizas (University of Texas at Arlington, USA)
Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters
Zhaoshi Meng (University of Michigan, USA); Dennis Wei (IBM T. J. Watson Research Center, USA); Ami Wiesel (The Hebrew University of Jerusalem, Israel); Alfred Hero III (University of Michigan, USA)
A Decentralized Approach to Generalized Power System State Estimation
Vassilis Kekatos (Virginia Tech, USA); Evangelos Vlachos (University of Edinburgh, United Kingdom (Great Britain)); Dimitris Ampeliotis (University of Patras & Research Academic Computer Technology Institute, Greece); Georgios B. Giannakis (University of Minnesota, USA); Kostas Berberidis (University of Patras, Greece)
Distributed Sensor-Informative Tracking of Targets
Guohua Ren and Ioannis Schizas (University of Texas at Arlington, USA)
Hierarchical Clustering and Consensus in Trust Networks
Santiago Segarra (Massachusetts Institute of Technology, USA); Alejandro Ribeiro (University of Pennsylvania, USA)
Partial-Diffusion Recursive Least-Squares Estimation Over Adaptive Networks
Reza Arablouei (CSIRO, Australia); Stefan Werner (NTNU, Norway); Kutluyıl Doğançay (University of South Australia, Australia)
Performance Comparison of Randomized Gossip, Broadcast Gossip and Collection Tree Protocol for Distributed Averaging
Jun Ye Yu and Michael Rabbat (McGill University, Canada)

Monday, December 16 4:15 - 6:15

Computational Advances in Array Processing II: Adaptive Beamforming and Radar

Special session
Chair: Sergiy A. Vorobyov (Aalto University, Finland)
Enhanced Capon Beamformer Using Regularized Covariance Matching
Dave Zachariah (Uppsala University, Sweden); Magnus Jansson (KTH Royal Institute of Technology, Sweden); Saikat Chatterjee (KTH - Royal Institute of Technology & Communication Theory Lab, Sweden)
Constrained ML Estimation of Structured Covariance Matrices with Applications in Radar STAP
Bosung Kang (The Pennsylvania State University, USA); Vishal Monga (Pennsylvania State University, USA); Muralidhar Rangaswamy (AFRL, USA)
A Beamforming Approach to Imaging of Stationary Indoor Scenes under Known Building Layout
Fauzia Ahmad (Temple University, USA); Moeness G. Amin (Villanova University, USA); Traian Dogaru (US Army Research Lab, USA)
Broadband Angle of Arrival Estimation Methods in a Polynomial Matrix Decomposition Framework
Stephan Weiss and Mohamed Alrmah (University of Strathclyde, United Kingdom (Great Britain)); Sangarapillai Lambotharan (Loughborough University, United Kingdom (Great Britain)); John G McWhirter (Cardiff University, United Kingdom (Great Britain)); Mostafa Kaveh (University of Minnesota, USA)
Manifold Sparse Beamforming
Baran Gozcu (EPFL, Switzerland); Afsaneh Asaei (Idiap Research Institute, Switzerland); Volkan Cevher (Ecole Polytechnique Federale de Lausanne, Switzerland)
Gaussian Graphical Models For Proper Quaternion Distributions
Alba Sloin (HUJI, Israel); Ami Wiesel (The Hebrew University of Jerusalem, Israel)

Distributed and Sensor Networks

Poster
Chair: Cédric Richard (Université de Nice Sophia-Antipolis, France)
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise
Feng Yin (The Chinese University of Hong Kong (Shenzhen), P.R. China); Ang Li (Technische Universität Darmstadt, Germany); Carsten Fritsche and Fredrik Gustafsson (Linköping University, Sweden); Abdelhak M Zoubir (Darmstadt University of Technology, Germany)
Relative Velocity Estimation Using Multidimensional Scaling
Raj Thilak Rajan (IMEC, NL & TU Delft, The Netherlands); Geert Leus (Delft University of Technology, The Netherlands); Alle Jan van der Veen (Delft University, The Netherlands)
Statistical Approaches for Personal Feature Extraction from Pressure Array Sensors
Toshiki Iso (NTT DOCOMO, Inc., Japan); Tsutomu Horikoshi (NTT DOCOMO, Japan)
Learning a common dictionary over a sensor network
Pierre Chainais (Ecole Centrale Lille & CRIStAL CNRS, France); Cédric Richard (Université de Nice Sophia-Antipolis, France)
Performance analysis of diffusion LMS in multitask networks
Jie Chen (Northwestern Polytechincal University, P.R. China); Cédric Richard (Université de Nice Sophia-Antipolis, France)
Random Pairwise Gossip on Hadamard Manifolds
Anass Bellachehab (Telecom Sud Paris, France); Jérémie Jakubowicz (Télécom SudParis, France)
Opportunistic Routing under Unknown Stochastic Models
Pouya Tehrani (Qualcomm Inc., USA); Qing Zhao (Cornell University, USA); Tara Javidi (UCSD, USA)

Multidimensional and Image Processing

Poster
Chair: Scott Acton (University of Virginia, USA)
Ultrasound Testing of Metallic Structures using a Dual Symmetric Path Inspection and a Matched Filter-based Method
Costin Vasile (Gipsa-lab & Université Grenoble Alpes, France); Teodor Petrut (Grenoble INP, France); Cornel Ioana (Institute National Polytechnique de Grenoble, France); Valentin Sgârciu (Politehnica University of Bucharest, Romania); Jerome I. Mars (Univ Grenoble Alpes, GIPSA-Lab & Univ Grenoble Alpes, CNRS, GIPSA-Lab, France); Ion Candel (Grenoble INP, France)
Speckle Reducing Diffusion for Ultrasound Image Enhancement using the Structural Similarity Image Measure
Scott Acton (University of Virginia, USA)
Bayesian Techniques for Edge Detection on Polarimetric SAR Images
Francesco Bandiera and Antonio Masciullo (University of Salento, Italy); Giuseppe Ricci (University of Salento, Lecce, Italy)
False-alarm regulation for target detection in Hyperspectral Imaging
Joana Frontera (CEA, France); Frederic Pascal (CentraleSupélec, France); Jean-Philippe Ovarlez (ONERA & Centrale-Supelec/SONDRA, France)
Exploiting information geometry to improve the convergence of nonparametric active contours
Marcelo Pereyra (University of Bristol, United Kingdom (Great Britain)); Hadj Batatia (University of Toulouse, France); Steve McLaughlin (Heriot Watt University, United Kingdom (Great Britain))

Monday, December 16 4:15 - 5:55

Signal Processing for Big Data

Special session
Chair: Venugopal Veeravalli (University of Illinois at Urbana-Champaign, USA)
Two-stage variable selection for molecular prediction of disease
Hamed Firouzi (University of Michigan, USA); Bala Rajaratnam (Stanford University, USA); Alfred Hero III (University of Michigan, USA)
Online Local Linear Classification
Joe Wang, Kirill Trapeznikov and Venkatesh Saligrama (Boston University, USA)
Universal Multiple Outlier Hypothesis Testing
Yun Li (University of Illinois, Urbana-Champaign & Coordinated Science Laboratory, USA); Sirin Nitinawarat (Qualcomm Technologies, Inc., USA); Venugopal Veeravalli (University of Illinois at Urbana-Champaign, USA)
Recent Results on Sparse Principle Component Analysis
T. Tony Cai and Zongming Ma (University of Pennsylvania, USA); Yihong Wu (Yale University, USA)
Gene Prioritization via Weighted Kendall Rank Aggregation
Minji Kim and Fardad Raisali (University of Illinois at Urbana-Champaign, USA); Farzad Farnoud (Hassanzadeh) (University of Virginia, USA); Olgica Milenkovic (University of Illinois at Urbana-Champaign (UIUC), USA)

Tuesday, December 17 9:00 - 9:45

Compressive Sensing for Urban Radar

Plenary
Moeness Amin, Villanova University, USA
Chair: Maria S. Greco (University of Pisa, Italy)

Compressive Sensing for Urban Radars, or Compressive Urban Sensing (CUS) using Radars, is an area of research and development which investigates the radar performance within the context of compressive sensing and with a focus on urban applications. CUS examines the effect of using significantly reduced data measurements in time, space and frequency on 2D and 3D imaging quality, strong EM reflections from exterior and interior walls, target ghosts, and moving target detection and tracking. In this respect, CUS is a hybrid between the two areas of compressive sensing and urban sensing. In essence, it enables reliable imaging of indoor targets using a very small percentage of the entire data volume. In this talk, compressive sensing will be put in context for radar, in general, and in particular for the urban environment. We will explain how CS can achieve various radar sensing goals and objectives, and how it compares with the use of full data volume. Different radar specifications and configurations will be used. In particular, we will address CS for urban radars towards achieving (a) Imaging through walls; (b) Detection of behind the wall targets; (c) Mitigation of wall clutter; and (d) Exploitation of multipath. All of the above issues will be examined using data generated both at the Radar Imaging Lab, Villanova University and by using EM simulations.

Tuesday, December 17 10:00 - 12:00

Superresolution Sensing and Reconstruction

Special session
Waheed Bajwa and Athina Petropulu
Chairs: Waheed U. Bajwa (Rutgers University-New Brunswick, USA), Athina Petropulu (Rutgers, The State University of New Jersey, USA)
Wideband Direction of Arrival Estimation Using Nested Arrays
Keyong Han and Arye Nehorai (Washington University in St. Louis, USA)
Compressive Sampling in Array Processing
Ali Ahmed (Georgia Institute of Technology, USA); Justin K Romberg (Georgia Tech, USA)
Sparse Iterative Adaptive Approach with Application to Source Localization
William Rowe and Jian Li (University of Florida, USA); Petre Stoica (Uppsala University, Sweden)
Resource-Efficient Parametric Recovery of Linear Time-varying Systems
Andrew Harms (Duke University, USA); Waheed U. Bajwa (Rutgers University-New Brunswick, USA); Robert Calderbank (Duke University, USA)
Sparsity based super-resolution in optical measurements
Yoav Shechtman, Alexander Szameit, Eliahyu Osherovich, Pavel Sidorenko and Oren Cohen (Technion, Israel); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel); Mordechai Segev (Technion, Israel)
Sparse image super-resolution via superset selection and pruning
Nam Nguyen (Massachusetts Institute of Technology, USA); Laurent Demanet (MIT, USA)

Tensor-based Methods for Multi-Sensor Signal Processing

Special session
Chair: André de Almeida (Federal University of Ceará & Wireless Telecom Research Group - GTEL, Brazil)
Tensor subspace tracking via Kronecker structured projections (TeTraKron)
Florian Roemer (Fraunhofer Institute for Nondestructive Testing IZFP & Ilmenau University of Technology, Germany); Emin-Koray Kasnakli (Ilmenau University of Technology, Germany); Yao Cheng (TU Ilmenau, Germany); Martin Haardt (Ilmenau University of Technology, Germany)
Iterative Prewhitening for Multidimensional Harmonic Retrieval: New Variants and Comparative Study
Kefei Liu (Indiana University School of Medicine, USA); João Paulo Carvalho Lustosa da Costa (Universidade de Brasília (UnB), Brazil); Hing Cheung So (City University of Hong Kong, Hong Kong); Rafael Timoteo de Sousa Junior (University of Brasilia, Brazil)
Multi-way Functional Principal Components Analysis
Genevera I. Allen (Rice University & Baylor College of Medicine, USA)
CANDECOMP/PARAFAC (CP) Direction Finding with Multi-Scale Array
Sebastian Miron (CRAN, Université de Lorraine, CNRS, France); Yang Song (University of Paderdon, Germany); David Brie (CRAN, Nancy Université, CNRS, France); Kainam Thomas Wong (Hong Kong Polytechnic University, Hong Kong)
Coupled Tensor Decompositions for Applications in Array Signal Processing
Mikael Sorensen (Leuven, Belgium); Lieven De Lathauwer (KU Leuven Kulak, Belgium)
Distributed Computation of Tensor Decompositions in Collaborative Networks
André de Almeida (Federal University of Ceará & Wireless Telecom Research Group - GTEL, Brazil); Alain Y. Kibangou (GIPSA-Lab, UJF, CNRS, France)

Tuesday, December 17 1:00 - 1:45

Tensor tools for multi-sensor processing. Conceptual and computational advances.

Plenary
Lieven De Lathauwer, KU Leuven, Belgium
Chair: Martin Haardt (Ilmenau University of Technology, Germany)

For more than 20 years, decompositions of higher-order tensors have played a key role in research on independent component analysis and blind source separation. Nowadays tensors are intensively studied in many disciplines. They open up remarkable new possibilities in signal processing, array processing, data mining, machine learning, system modelling, scientific computing, statistics, wireless communication, audio and image processing, biomedical applications, bio-informatics,etc. On the other hand, tensor methods have firm roots in multilinear algebra, algebraic geometry, numerical mathematics and optimization.

We give a brief introduction to the subject and discuss new trends and perspectives. We pay special attention to new developments relevant for multi-sensor processing, in particular in signal separation. We also pay attention to the current progress in numerical multilinear algebra.

Tuesday, December 17 2:00 - 4:00

Sparse and Low-dimensional Signal Processing

Chair: Olgica Milenkovic (University of Illinois at Urbana-Champaign (UIUC), USA)
Shaping the Power Spectra of Bipolar Sequences with Application to Sub-Nyquist Sampling
Andrew Harms (Duke University, USA); Waheed U. Bajwa (Rutgers University-New Brunswick, USA); Robert Calderbank (Duke University, USA)
Adaptive Search for Sparse Dynamic Targets
Gregory Newstadt (Google Inc, USA); Dennis Wei (IBM T. J. Watson Research Center, USA); Alfred Hero III (University of Michigan, USA)
Sparse X-ray CT Image Reconstruction and Blind Beam Hardening Correction via Mass Attenuation Discretization
Renliang Gu (Google Inc., USA); Aleksandar Dogandžić (Iowa State University, USA)
Joint-sparse Recovery in Compressed Sensing with Dictionary Mismatch
Zhao Tan, Peng Yang and Arye Nehorai (Washington University in St. Louis, USA)
Boundedness of modified multiplicative updates for nonnegative matrix factorization
Jiro Katayama (Kyushu University, Japan); Norikazu Takahashi (Okayama University, Japan); Junichi Takeuchi (Kyushu University, Japan)
Blind Multi-path Elimination by Sparse Inversion in Through-the-Wall-Imaging
Hassan Mansour (Mitsubishi Electric Research Laboratories); Dehong Liu (Mitsubishi Electric Research Laboratories, USA)

Geophysical Signal Processing

Special session
Chairs: Shuchin Aeron (Tufts University, USA), Sandip Bose (Schlumberger-Doll Research, USA), Daniela Donno (MINES ParisTech, France)
A new inversion method for NMR signal processing
Evren Yarman (Schlumberger, USA); Lucas Monzon and Matthew Reynolds (University of Colorado, Boulder, USA); Nick Heaton (Schlumberger, USA)
Source Separation and Distributed Sensing: the Key for an Efficient Monitoring
Jerome I. Mars (Univ Grenoble Alpes, GIPSA-Lab & Univ Grenoble Alpes, CNRS, GIPSA-Lab, France); Edouard Buchoud (GIPSA LAB & EDF R&D, France); Valeriu Vrabie (Universitée de Reims Champagne-Ardenne, France); Amir Khan (NUST, Pakistan); Sylvain Blairon and Guy D'Urso (Electricité de France, France)
Broadband Dispersion Extraction of Borehole Acoustic Modes via Sparse Bayesian Learning
Pu Wang (Mitsubishi Electric Research Laboratories (MERL), USA); Sandip Bose (Schlumberger-Doll Research, USA)
Methods for Large Scale Hydraulic Fracture Monitoring
Gregory Ely (MIT, USA); Shuchin Aeron (Tufts University, USA)
Seismic interferometry for sparse data: SVD-enhanced Green's function estimation
Gabriela Melo, Alison Malcolm and Thomas Gallott (Massachusetts Institute of Technology, USA)
Wave Equation Receiver Deghosting
Craig Beasley, Richard Coates and Cintia Lapilli (WesternGeco, USA)

Tuesday, December 17 4:15 - 5:55

Signal Processing in Social Networks

Special session
Chairs: Georgios B. Giannakis (University of Minnesota, USA), Hamid Krim (North Carolina State University, USA)
Multi-layer graph analytics for social networks
Brandon Oselio, Alex Kulesza and Alfred Hero III (University of Michigan, USA)
Discovery of Path-Important Nodes using Structured Semi-Nonnegative Matrix Factorization
Shawn Mankad (University of Maryland, USA); George Michailidis (University of Michigan, USA)
Dynamic Structural Equation Models for Tracking Topologies of Social Networks
Brian Baingana (University of Minnesota, USA); Gonzalo Mateos (University of Rochester, USA); Georgios B. Giannakis (University of Minnesota, USA)
Distributed reinforcement learning in multi-agent networks
Soummya Kar and Jose Moura (Carnegie Mellon University, USA); Vincent Poor (Princeton University, USA)
Control and Prediction of Beliefs on Social Network
Tian Wang (Facebook, USA); Hamid Krim (North Carolina State University, USA)

Tuesday, December 17 4:15 - 6:15

Beamforming and Array Signal Processing

Poster
Chair: Jean-Yves Tourneret (University of Toulouse & ENSEEIHT, France)
Robust Source Localization and Tracking using MUSIC-Group Delay Spectrum over Spherical Arrays
Lalan Kumar (Indian Institute of Technology Delhi, India); Kushagra Singhal (University of Illinois at Urbana Champaign, USA); Rajesh M Hegde (Indian Institute of Technology Kanpur, India)
Bayesian Cyclic Bounds for Periodic Parameter Estimation
Eyal Nitzan (Ben-Gurion University of the Negev, Israel); Tirza Routtenberg (Ben Gurion University of the Negev, Israel); Joseph Tabrikian (Ben-Gurion University of the Negev, Israel)
Performance of TOA and FOA-based Localization for Cospas-Sarsat Search and Rescue Signals
Victor Bissoli Nicolau and Martial Coulon (University of Toulouse, France); Yoan Gregoire (CNES, France); Thibaud Calmettes (Thales Alenia Space, France); Jean-Yves Tourneret (University of Toulouse & ENSEEIHT, France)
Performance Analysis of ESPRIT-Type Algorithms for Strictly Non-Circular Sources Using Structured Least Squares
Jens Steinwandt (Ilmenau University of Technology, Germany); Florian Roemer (Fraunhofer Institute for Nondestructive Testing IZFP & Ilmenau University of Technology, Germany); Martin Haardt (Ilmenau University of Technology, Germany)
Approximate maximum likelihood direction of arrival estimation for two closely spaced sources
François Vincent (ISAE); Olivier Besson and Eric Chaumette (ISAE, France)
Adaptive Beamforming with Augmentable Arrays in Non-Stationary Environments
Jonathan Odom and Jeffrey Krolik (Duke University, USA)
On an Iterative Method for Direction of Arrival Estimation using Multiple Frequencies
Fredrik Andersson and Marcus Carlsson (Lund University, Sweden); Jean-Yves Tourneret (University of Toulouse & ENSEEIHT, France); Herwig Wendt (University of Toulouse, CNRS, France)
Filter Bank Based Fractional Delay Filter Implementation for Widely Accurate Broadband Steering Vectors
Mohamed Alrmah and Stephan Weiss (University of Strathclyde, United Kingdom (Great Britain))
Experimental Results of Compressive Sensing Based Imaging in Ultrasonic Non-Destructive Testing
Aras Azimipanah (University of Ontario Institute of Technology (UOIT), Canada); Shahram ShahbazPanahi (University of Ontario Institute of Technology, Canada)
Sparsity-Enforcing Sensor Selection for DOA Estimation
Venkat Roy, Sundeep Prabhakar Chepuri and Geert Leus (Delft University of Technology, The Netherlands)
Constrained Imaging for Radio Astronomy
Ahmad Mouri Sardarabadi (Kapteyn Astronomical Institute, The Netherlands); Alle Jan van der Veen (Delft University, The Netherlands)

Advances in Sequential Monte Carlo Methods

Special session
Chair: Petar M. Djurić (Stony Brook University, USA)
A Rao-Blackwellized Random Exchange Diffusion Particle Filter for Distributed Emitter Tracking
Stiven S Dias (Instituto Tecnológico de Aeronáutica (ITA) & Embraer S.A., Brazil); Marcelo Bruno (ITA, Brazil)
Particle Filtering for High-Dimensional Systems
Petar M. Djurić and Monica F. Bugallo (Stony Brook University, USA)
On Marginal Particle Filters with Linear Complexity
Fredrik Gustafsson (Linköping University, Sweden)
Particle Filtering with Progressive Gaussian Approximations to the Optimal Importance Density
Pete Bunch (University of Cambridge); Simon Godsill (University of Cambridge, United Kingdom (Great Britain))
Particle filtering with transformed weights
Joaquin Míguez and Eugenia Koblents (Universidad Carlos III de Madrid, Spain)
Particle filter implementation of the multi-Bernoulli filter for superpositional sensors
Santosh Nannuru (University of California San Diego, USA); Mark Coates (McGill University, Canada)

Wednesday, December 18 9:00 - 9:45

Satellite Communications - Signal Processing Challenges

Plenary
Björn Ottersten, University of Luxembourg, Luxembourg and Royal Institute of Technology, Sweden
Chair: Martin Haardt (Ilmenau University of Technology, Germany)

Communication systems via satellite provide an unprecedented coverage at low cost. However, satellite networks as a means of content delivery are meeting increased competition from terrestrial communication systems. To stay competitive, innovative, cost efficient and scalable satellite services providing multimedia delivery, mobile communication services, public safety communications, backhaul etc. must be developed. The efficient and reliable delivery of these services poses several technical challenges. We discuss how signal processing techniques can be used to address some of these challenges, including diversity techniques, advanced multi-channel transmission and reception schemes, interference mitigation, and cognitive satellite communications.

Wednesday, December 18 10:00 - 12:00

Spectrum Sensing for Cognitive Radio Systems

Special session
Chairs: Danijela Cabric (University of California Los Angeles, USA), Yonina C. Eldar (Technion-Israel Institute of Technology, Israel)
Adaptive Block Sampling for Spectrum Sensing
Ali Tajer (Rensselaer Polytechnic Institute, USA); Vincent Poor (Princeton University, USA)
Distributed Spectrum Sensing in Cognitive Radios via Graphical Models
Alireza Makhzani and Shahrokh Valaee (University of Toronto, Canada)
Frequency Domain Distributed OFDM Source Detection
Saeed Akhavan Astaneh (University of Ontario Institute of Technology, Canada); Saeed Gazor (Queen's University, Canada)
Cyclostationary Detection from Sub-Nyquist Samples for Cognitive Radios: Model Reconciliation
Deborah Cohen (Technion - Israel Institute of Technology, Israel); Eric Rebeiz (UCLA, USA); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel); Danijela Cabric (University of California Los Angeles, USA)
Dynamic Learning for Cognitive Radio Sensing
Seung-Jun Kim (University of Maryland, Baltimore County, USA); Georgios B. Giannakis (University of Minnesota, USA)
Distributed Spectrum Sensing in the Presence of Selfish Users
Chung-Kai Yu (University of California, Los Angeles, USA); Mihaela van der Schaar (UCLA, USA); Ali H. Sayed (University of California, Los Angeles, USA)

Wednesday, December 18 10:00 - 11:40

Radar Array Processing and STAP

Chair: Yuri Abramovich (W R Systems, Ltd, USA)
Root-MUSIC Based Source Localization Using Transmit Array Interpolation in MIMO Radar With Arbitrary Planar Arrays
Aboulnasr Hassanien (Wright State University, USA); Sergiy A. Vorobyov (Aalto University, Finland); Yeo-Sun Yoon (Hanwha Systems Company, Korea); Joon-Young Park (Samsung Thales Co., Ltd., Korea)
Aperture Varying Autoregressive Covariance Modeling for 2D Oversampled Receive Arrays
Yuri Abramovich (W R Systems, Ltd, USA); Geoffrey San Antonio (US Naval Research Laboratory, USA)
DOA Estimation Using a Sparse Uniform Linear Array with Two CW Signals of Co-prime Frequencies
Yimin D. Zhang (Temple University, USA); Moeness G. Amin (Villanova University, USA); Fauzia Ahmad (Temple University, USA); Braham Himed (AFRL, USA)
Invariant Target Detection of MIMO Radar with Unknown Parameters
Ali Ghobadzadeh (Queens University, Canada); Mohammad Reza Taban (yazd University, Iran); Ali A. Tadaion (Yazd University, Iran); Saeed Gazor (Queen's University, Canada)
Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP
Maxime Boizard (LSS, Supelec, France); Frédéric Brigui (Temasek Laboratories@NTU & Nanyang Technological University, Singapore); Guillaume Ginolhac (Université Savoie Mont-Blanc & LISTIC, France); Frederic Pascal (CentraleSupélec, France); Philippe Forster (Universite Paris Ouest Nanterre, France); Hongbo Sun (Nanyang Technological University, Singapore)

Wednesday, December 18 1:00 - 1:45

Cyber Attacks on a Power Grid and Counter Measures

Plenary
Lang Tong, Cornell University, USA
Chair: Saeed Gazor (Queen's University, Canada)

A defining feature of a smart grid is its ability to adapt to changing operating conditions and contingencies by leveraging advanced sensing, communication, and networking capabilities. However, relying networking for grid monitoring and real time operation comes with increasing security risks of cyber-attacks.

In this talk, we consider cyber attacks on a power grid where an adversary manipulates analog and digital data with the goal of misleading the control center with an incorrect network topology and erroneous operating state. We present a number of attack mechanisms and counter measures.

Wednesday, December 18 2:00 - 4:00

Signal and Information Processing in Energy Grids

Special session
Chair: Ali Tajer (Rensselaer Polytechnic Institute, USA)
A Framework for Actuator Placement in Large Scale Power Systems: Minimal Strong Structural Controllability
Sergio Pequito (Carnegie Mellon University - Instituto Superior Tecnico, USA); Nipun Popli, Soummya Kar and Marija Ilić (Carnegie Mellon University, USA); Antonio Pedro Aguiar (Faculty of Engineering, University of Porto, Portugal)
Dynamic Topology Adaptation for Distributed Estimation in Smart Grids
Songcen Xu (University of York, United Kingdom (Great Britain)); Rodrigo C. de Lamare (Pontifical Catholic University of Rio de Janeiro & University of York, Brazil); Vincent Poor (Princeton University, USA)
Study of Nonlinear Power Optimization Problems using Algebraic Graph Theory
Somayeh Sojoudi (NYU Langone Medical Center, USA); Javad Lavaei (Columbia University, USA)
Advances in Decentralized State Estimation for Power Systems
Xiao Li (University of California, Berkeley, USA); Anna Scaglione (Arizona State University, USA)
Monitoring Disturbances in Smart Grids Using Distributed Sequential Change Detection
Shang Li and Xiaodong Wang (Columbia University, USA)
Online Learning of Load Elasticity for Electric Vehicle Charging
Nasim Yahya soltani (University of Minnesota, USA); Seung-Jun Kim (University of Maryland, Baltimore County, USA); Georgios B. Giannakis (University of Minnesota, USA)

Wednesday, December 18 2:00 - 3:40

Cognitive Radio and Radar Networks

Special session
Chairs: Maria S. Greco (University of Pisa, Italy), Luca Sanguinetti (University of Pisa & CentraleSupélec, Italy)
Compressive Angular and Frequency Periodogram Reconstruction for Multiband Signals
Dyonisius Dony Ariananda (Universitas Gadjah Mada, Indonesia); Daniel Romero (University of Agder, Norway); Geert Leus (Delft University of Technology, The Netherlands)
A Bilateral-Market based Mechanism for Spectrum Allocation in Cognitive Radio Networks
Venkata Sriram Siddhardh Nadendla (Missouri University of Science and Technology, USA); Swastik Brahma (Tennessee State University, USA); Pramod Varshney (Syracuse University, USA)
Adaptive PRF Selection Technique for Multiple Targets in Track-Before-Detect
Junhyeong Bae (Agency for Defense Development(ADD), Korea); Nathan A Goodman (University of Oklahoma, USA)
Primary Receiver Localization Using Sparsity and Interference Tweets
Emiliano Dall'Anese (University of Colorado Boulder, USA); Antonio G. Marques (Universidad Rey Juan Carlos, Spain); Georgios B. Giannakis (University of Minnesota, USA)
Distributed Throughput Maximization for Multi-Channel ALOHA Networks
Kobi Cohen (Ben-Gurion University of the Negev, Israel); Amir Leshem (Bar-Ilan University, Israel)

Wednesday, December 18 4:15 - 5:35

Estimation, Learning, and Optimization for the Smart Grids

Chair: Nikolaos Gatsis (The University of Texas at San Antonio, USA)
Hybrid Energy Storage and Generation Planning with Large Renewable Penetration
Peng Yang and Arye Nehorai (Washington University in St. Louis, USA)
Estimating Frequency of Three-Phase Power Systems via Widely-Linear Modeling and Total Least-Squares
Reza Arablouei (CSIRO, Australia); Stefan Werner (NTNU, Norway); Kutluyıl Doğançay (University of South Australia, Australia)
Distributed Demand Response for Plug-in Electrical Vehicles in the Smart Grid
Zhao Tan, Peng Yang and Arye Nehorai (Washington University in St. Louis, USA)
Stochastic Programming for Energy Planning in Microgrids with Renewables
Gabriela Martinez (Cornell University, USA); Nikolaos Gatsis (The University of Texas at San Antonio, USA); Georgios B. Giannakis (University of Minnesota, USA)

Wednesday, December 18 4:15 - 6:35

Wireless Communications

Chair: Shahram ShahbazPanahi (University of Ontario Institute of Technology, Canada)
Optimization of the Rate Adaptation Procedures in xDSL Systems
Wagih Sarhan (Technische Universität Darmstadt, Germany); Anja Klein (TU Darmstadt, Germany)
Expected Likelihood Support for Blind SIMO Channel Identification
Yuri Abramovich (W R Systems, Ltd, USA); Ben A. Johnson (Colorado School of Mines)
Error Exponents for Bias Detection of a Correlated Process over a MAC Fading Channel
Juan A. Maya (University of Buenos Aires, Argentina); Leonardo Rey Vega (University of Buenos Aires, Facultad de Ingeniería & CONICET, Argentina); Cecilia G. Galarza (University of Buenos Aires, Argentina)
Known-Interference Aware Iterative MMSE Filter Design for Non-Regenerative Multi-Way Relaying
Holger Degenhardt and Anja Klein (TU Darmstadt, Germany)
Multicast Relay Beamforming through Dual Approach
Min Dong (University of Ontario Institute of Technology, Canada); Ben Liang (University of Toronto, Canada)
Reduced-Complexity Distributed Beamforming Algorithm for Individual Relay Power Constraints
Jens Steinwandt and Martin Haardt (Ilmenau University of Technology, Germany)
Multi-Relay Network Design Using Power-Normalized SNR
Yichen Hao and Yindi Jing (University of Alberta, Canada); Shahram ShahbazPanahi (University of Ontario Institute of Technology, Canada)