Compressed Sensing & Sparse Filtering

Editors:

ISBN: 978-3-642-38397-7 (Print) 978-3-642-38398-4 (Online)

Table of contents (15 chapters)

  1. Front Matter

    Pages i-xii

  2. No Access

    Chapter

    Pages 1-23

    Introduction to Compressed Sensing and Sparse Filtering

  3. No Access

    Chapter

    Pages 25-75

    The Geometry of Compressed Sensing

  4. No Access

    Chapter

    Pages 77-93

    Sparse Signal Recovery with Exponential-Family Noise

  5. No Access

    Chapter

    Pages 95-122

    Nuclear Norm Optimization and Its Application to Observation Model Specification

  6. No Access

    Chapter

    Pages 123-148

    Nonnegative Tensor Decomposition

  7. No Access

    Chapter

    Pages 149-185

    Sub-Nyquist Sampling and Compressed Sensing in Cognitive Radio Networks

  8. No Access

    Chapter

    Pages 187-235

    Sparse Nonlinear MIMO Filtering and Identification

  9. No Access

    Chapter

    Pages 237-280

    Optimization Viewpoint on Kalman Smoothing with Applications to Robust and Sparse Estimation

  10. No Access

    Chapter

    Pages 281-324

    Compressive System Identification

  11. No Access

    Chapter

    Pages 325-355

    Distributed Approximation and Tracking Using Selective Gossip

  12. No Access

    Chapter

    Pages 357-380

    Recursive Reconstruction of Sparse Signal Sequences

  13. No Access

    Chapter

    Pages 381-393

    Estimation of Time-Varying Sparse Signals in Sensor Networks

  14. No Access

    Chapter

    Pages 395-421

    Sparsity and Compressed Sensing in Mono-Static and Multi-Static Radar Imaging

  15. No Access

    Chapter

    Pages 423-453

    Structured Sparse Bayesian Modelling for Audio Restoration

  16. No Access

    Chapter

    Pages 455-502

    Sparse Representations for Speech Recognition