1 Introduction to Compressed Sensing and Sparse Filtering ...... 1
Avishy Y. Carmi, Lyudmila S. Mihaylova and Simon J. Godsill
2 The Geometry of Compressed Sensing .......................... 25
Thomas Blumensath
3 Sparse Signal Recovery with Exponential-Family Noise ........ 77
Irina Rish and Genady Grabarnik
4 Nuclear Norm Optimization and Its Application
to Observation Model Specification .......................... 95
Ning Hao, Lior Horesh and Misha E. Kilmer
5 Nonnegative Tensor Decomposition ........................... 123
N. Hao, L. Horesh and M. Kilmer
6 Sub-Nyquist Sampling and Compressed Sensing in Cognitive
Radio Networks ............................................. 149
Hongjian Sun, Arumugam Nallanathan and Jing Jiang
7 Sparse Nonlinear MIMO Filtering and Identification ......... 187
G. Mileounis and N. Kalouptsidis
8 Optimization Viewpoint on Kalman Smoothing with
Applications to Robust and Sparse Estimation ............... 237
Aleksandr Y. Aravkin, James V. Burke and Gianluigi
Pillonetto
9 Compressive System Identification .......................... 281
Avishy Y. Carmi
10 Distributed Approximation and Tracking Using
Selective Gossip ........................................... 325
Deniz üstebay, Rui Castro, Mark Coates and Michael Rabbat
11 Recursive Reconstruction of Sparse Signal Sequences ........ 357
Namrata Vaswani and Wei Lu
12 Estimation of Time-Varying Sparse Signals
in Sensor Networks ......................................... 381
Manohar Shamaiah and Haris Vikalo
13 Sparsity and Compressed Sensing in Mono-Static
and Multi-Static Radar Imaging ............................. 395
Ivana Stojanović, Müjdat Çetin and W. Clem Karl
14 Structured Sparse Bayesian Modelling for Audio
Restoration ................................................ 423
James Murphy and Simon Godsill
15 Sparse Representations for Speech Recognition .............. 455
Tara N. Sainath, Dimitri Kanevsky, David Nahamoo, Bhuvana
Ramabhadran and Stephen Wright
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