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Binary graphs and message passing strategies for Compressed Sensing in the noiseless setting

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3 Author(s)
Ramirez-Javega, F. ; Dept. of Signal Theor. & Commun. (TSC), Univ. Politec. de Catalunya (UPC), Barcelona, Spain ; Lamarca, M. ; Villares, J.

We propose a scheme for Compressed Sensing in the noiseless setting that reconstructs the original signal operating on a binary graph where the samples are obtained sequentially. The proposed scheme has an affordable computational complexity and a large performance enhancement with respect to similar schemes in the literature, thanks to the proposed measurement matrix structure and enhanced decoding based on a message passing algorithm.

Published in:

Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on

Date of Conference:

1-6 July 2012