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Compressed sensing & sparse filtering

Author: Avishy Y Carmi; Lyudmila Mihaylova; Simon J Godsill
Publisher: Heidelberg : Springer, [2013?] ©2014
Series: Signals and communication technology.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This book is aimed at presenting concepts, methods and algorithms ableto cope with undersampled and limited data. One such trend that recently gained popularity and to some extent revolutionised signal processing is compressed sensing. Compressed sensing builds upon the observation that many signals in nature are nearly sparse (or compressible, as they are normally referred to) in some domain, and consequently they  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Avishy Y Carmi; Lyudmila Mihaylova; Simon J Godsill
ISBN: 9783642383984 364238398X 3642383971 9783642383977
OCLC Number: 858940620
Description: 1 online resource.
Contents: Introduction to Compressed Sensing and Sparse Filtering / Avishy Y. Carmi, Lyudmila S. Mihaylova and Simon J. Godsill --
The Geometry of Compressed Sensing / Thomas Blumensath --
Sparse Signal Recovery with Exponential-Family Noise / Irina Rish and Genady Grabarnik --
Nuclear Norm Optimization and Its Application to Observation Model Specification / Ning Hao, Lior Horesh and Misha Kilmer --
Nonnegative Tensor Decomposition / N. Hao, L. Horesh and M. E. Kilmer --
Sub-Nyquist Sampling and Compressed Sensing in Cognitive Radio Networks / Hongjian Sun, Arumugam Nallanathan and Jing Jiang --
Sparse Nonlinear MIMO Filtering and Identification / G. Mileounis and N. Kalouptsidis --
Optimization Viewpoint on Kalman Smoothing with Applications to Robust and Sparse Estimation / Aleksandr Y. Aravkin, James V. Burke and Gianluigi Pillonetto --
Compressive System Identification / Avishy Y. Carmi --
Distributed Approximation and Tracking Using Selective Gossip / Deniz Üstebay, Rui Castro, Mark Coates and Michael Rabbat --
Recursive Reconstruction of Sparse Signal Sequences / Namrata Vaswani and Wei Lu --
Estimation of Time-Varying Sparse Signals in Sensor Networks / Manohar Shamaiah and Haris Vikalo --
Sparsity and Compressed Sensing in Mono-Static and Multi-Static Radar Imaging / Ivana Stojanović, Müjdat Çetin and W. Clem Karl --
Structured Sparse Bayesian Modelling for Audio Restoration / James Murphy and Simon Godsill --
Sparse Representations for Speech Recognition / Tara N. Sainath, Dimitri Kanevsky, David Nahamoo, Bhuvana Ramabhadran and Stephen Wright.
Series Title: Signals and communication technology.
Other Titles: Compressed sensing and sparse filtering
Responsibility: Avishy Y. Carmi, Lyudmila S. Mihaylova, Simon J. Godsill, editors.
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From the reviews: "This book reports on the application of compressed sensing. ... This book presents cutting-edge research on one of the newest signal processing disciplines. It should be of great Read more...

 
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