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Compressed Sensing and Sparse Filtering

Publisher: 
Springer
Number of Pages: 
502
Price: 
179.00
ISBN: 
9783642383977
Date Received: 
Tuesday, October 15, 2013
Reviewable: 
No
Include In BLL Rating: 
No
Avishy Y. Carmi, Lyudmila S. Mihaylova, and Simon J. Godsill, editors
Series: 
Signals and Communication Technology
Publication Date: 
2013
Format: 
Hardcover
Category: 
Anthology

Introduction to Compressed Sensing and Sparse Filtering.- The Geometry of Compressed Sensing.- Sparse Signal Recovery with Exponential-Family Noise.- Nuclear Norm Optimization and its Application to Observation Model Specification.- Nonnegative Tensor Decomposition.- Sub-Nyquist Sampling and Compressed Sensing in Cognitive Radio Networks.- Sparse Nonlinear MIMO Filtering and Identification.- Optimization Viewpoint on Kalman Smoothing with Applications to Robust and Sparse Estimation.- Compressive System Identification.- Distributed Approximation and Tracking using Selective Gossip.- Recursive Reconstruction of Sparse Signal Sequences.- Estimation of Time-Varying Sparse Signals in Sensor Networks.- Sparsity and Compressed Sensing in Mono-static and Multi-static Radar Imaging.- Structured Sparse Bayesian Modelling for Audio Restoration.- Sparse Representations for Speech Recognition.

Publish Book: 
Modify Date: 
Tuesday, October 15, 2013

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