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Random Filters for Compressive Sampling

Tropp, Joel A. (2007) Random Filters for Compressive Sampling. In: Conference on Information Sciences and Systems, 40th (CISS 2006), Princeton, NJ, 22-24 March 2006. IEEE , Piscataway, NJ, pp. 216-217. ISBN 1-4244-0350-2.

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This paper discusses random filtering, a recently proposed method for directly acquiring a compressed version of a digital signal. The technique is based on convolution of the signal with a fixed FIR filter having random taps, followed by downsampling. Experiments show that random filtering is effective at acquiring sparse and compressible signals. This process has the potential for implementation in analog hardware, and so it may have a role to play in new types of analog/digital converters.

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Tropp, Joel A.0000-0003-1024-1791
Additional Information:© Copyright 2006 IEEE. Reprinted with permission. [Posted online: 2007-01-22] I wish to thank Mike Wakin, Marco Duarte, Dror Baron, and Rich Baraniuk for permission to discuss our joint work.
Subject Keywords:FIR filters, analog-digital conversion, random processes, signal sampling
Record Number:CaltechAUTHORS:TROciss06
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:9064
Deposited By: Archive Administrator
Deposited On:25 Oct 2007
Last Modified:08 Nov 2021 20:55

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