Conferences: Binary Graphs and Message Passing Strategies for Compressed Sensing in the Noiseless Setting
Ramirez Javega, M. Lamarca Orozco and J. Villares Piera

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.


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