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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
OCLC Number: 858940620
Description: 1 online resource.
Contents: 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.
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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