Journal
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Volume 55, Issue 12, Pages 5695-5702Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2007.900760
Keywords
basis pursuit (BP); compressed sensing (CS); mutual coherence; optimized projections; orthogonal matching pursuit (OMP); sparse and redundant representations
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Compressed sensing (CS) offers a joint compression and sensing processes, based on the existence of a sparse representation of the treated signal,and a set of projected measurements. Work on CS thus far typically assumes that the projections are drawn at random. In this paper, we consider the optimization of these projections. Since such a direct optimization is prohibitive, we target an average measure of the mutual coherence of the effective dictionary, and demonstrate that this leads to better CS reconstruction performance. Both the basis pursuit (BP) and the orthogonal matching pursuit (OMP) are shown to benefit from the newly designed projections, with a reduction of the error rate by a factor of 10 and beyond.
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