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Binary graphs and message passing strategies for compressed sensing in the noiseless setting

Author
Ramirez, F.; Lamarca, M.; Villares, J.
Type of activity
Presentation of work at congresses
Name of edition
2012 IEEE International Symposium on Information Theory
Date of publication
2012
Presentation's date
2012-07-04
Book of congress proceedings
2012 IEEE International Symposium on Information Theory Proceedings: took place July 1-6, 2012, in Cambridge, Massachusetts, USA
First page
1867
Last page
1871
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ISIT.2012.6283604 Open in new window
Repository
http://hdl.handle.net/2117/18420 Open in new window
URL
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6283604&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6283604 Open in new window
Abstract
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.
Citation
Ramirez, F.; Lamarca, M.; Villares, N. Binary graphs and message passing strategies for compressed sensing in the noiseless setting. A: IEEE International Symposium on Information Theory. "2012 IEEE International Symposium on Information Theory Proceedings: took place July 1-6, 2012, in Cambridge, Massachusetts, USA". Cambridge, Massachusetts: Institute of Electrical and Electronics Engineers (IEEE), 2012, p. 1867-1871.
Group of research
SPCOM - Signal Processing and Communications Group

Participants