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Proceedings Paper

On linear block codes and deterministic compressive sampling
Author(s): Nicholas Tsagkarakis; Dimitris A. Pados
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Paper Abstract

We suggest and explore a parallelism between linear block code parity check matrices and binary zero/one measurement matrices for compressed sensing. The resulting family of deterministic compressive samplers renders itself to the development of eective and ecient recovery algorithms for sparse signals that are not ℓ1-based. Experimental results that we include herein demonstrate the utility of the presented developments.

Paper Details

Date Published: 8 June 2012
PDF: 7 pages
Proc. SPIE 8365, Compressive Sensing, 836506 (8 June 2012); doi: 10.1117/12.920180
Show Author Affiliations
Nicholas Tsagkarakis, Univ. at Buffalo (United States)
Dimitris A. Pados, Univ. at Buffalo (United States)

Published in SPIE Proceedings Vol. 8365:
Compressive Sensing
Fauzia Ahmad, Editor(s)

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