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Compressive sensing and filter-bank signal models

Vaidyanathan, P. P. (2012) Compressive sensing and filter-bank signal models. In: 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR). IEEE , Piscataway, NJ, pp. 603-607. ISBN 978-1-4673-5050-1.

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A compressible signal can often be modeled as a sum of outputs of subband filters of a synthesis filter bank. This model allows one to find compressive sampling schemes, whereby the original continuous signal can directly be acquired by sampling at a very low (sub-Nyquist) rate. This paper revisits this result from the view point of filter bank theory. This is motivated by recent work by Mishali and Eldar on the so-called Xampling techniques for compressible signals. The viewpoint presented here emphasizes the simplicity and directness of the compressive sensing idea and also places in evidence the framework which can be used to formulate optimal compressive sampling problems.

Item Type:Book Section
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URLURL TypeDescription DOIArticle
Vaidyanathan, P. P.0000-0003-3003-7042
Additional Information:© 2012 IEEE. This work was supported in parts by the ONR grant N00014-11-1-0676, and the California Institute of Technology.
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-11-1-0676
Subject Keywords:channel bank filters; compressed sensing; signal sampling
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INSPEC Accession Number13415754
Record Number:CaltechAUTHORS:20130802-074219937
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Official Citation:Vaidyanathan, P.P., "Compressive sensing and filter-bank signal models," Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on , vol., no., pp.603,607, 4-7 Nov. 2012 doi: 10.1109/ACSSC.2012.6489078
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:39720
Deposited By: Tony Diaz
Deposited On:05 Aug 2013 23:38
Last Modified:09 Nov 2021 23:46

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