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Extensions to Orthogonal Matching Pursuit for Compressed Sensing

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4 Author(s)
Majumdar, A. ; Indian Inst. of Technol. Bombay, Mumbai, India ; Krishnan, N. ; Pillai, S.R.B. ; Velmurugan, R.

Compressed Sensing (CS) provides a set of mathematical results showing that sparse signals can be exactly reconstructed from a relatively small number of random linear measurements. A particularly appealing greedy-approach to signal reconstruction from CS measurements is the so called Orthogonal Matching Pursuit (OMP). We propose two modifications to the basic OMP algorithm, which can be handy in different situations.

Published in:

Communications (NCC), 2011 National Conference on

Date of Conference:

28-30 Jan. 2011