Compressed Sensing & Sparse Filtering

1. Introduction to Compressed Sensing and Sparse Filtering
Avishy Y. Carmi, Lyudmila S. Mihaylova, Simon J. Godsill

2. The Geometry of Compressed Sensing
Thomas Blumensath

3. Sparse Signal Recovery with Exponential-Family Noise
Irina Rish, Genady Grabarnik

4. Nuclear Norm Optimization and Its Application to Observation Model Specification
Ning Hao, Lior Horesh, Misha Kilmer

5. Nonnegative Tensor Decomposition
N. Hao, L. Horesh, M. E. Kilmer

6. Sub-Nyquist Sampling and Compressed Sensing in Cognitive Radio Networks
Hongjian Sun, Arumugam Nallanathan, Jing Jiang

7. Sparse Nonlinear MIMO Filtering and Identification
G. Mileounis, N. Kalouptsidis

8. Optimization Viewpoint on Kalman Smoothing with Applications to Robust and Sparse Estimation
Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto

9. Compressive System Identification
Avishy Y. Carmi

10. Distributed Approximation and Tracking Using Selective Gossip
Deniz Üstebay, Rui Castro, Mark Coates, Michael Rabbat

11. Recursive Reconstruction of Sparse Signal Sequences
Namrata Vaswani, Wei Lu

12. Estimation of Time-Varying Sparse Signals inSensor Networks
Manohar Shamaiah, Haris Vikalo

13. Sparsity and Compressed Sensing in Mono-Static and Multi-Static Radar Imaging
Ivana Stojanović, Müjdat Çetin, W. Clem Karl

14. Structured Sparse Bayesian Modelling for Audio Restoration
James Murphy, Simon Godsill

15. Sparse Representations for Speech Recognition
Tara N. Sainath, Dimitri Kanevsky, David Nahamoo, Bhuvana Ramabhadran, Stephen Wright

Keywords: Engineering, Signal, Image and Speech Processing, Numeric Computing, Mathematics of Algorithmic Complexity, Complexity