Institute of Information Theory and Automation

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Bibliography

Research Report

Experimental Comparison of Sparse Signal Recovery Algorithms

Hoskovec J., Tichavský Petr

: ÚTIA AVČR, (Praha 2011)

: Research Report 2306

: CEZ:AV0Z10750506

: GA102/09/1278, GA ČR

: compressed sensing, sparse signal, matching pursuit

: http://library.utia.cas.cz/separaty/2011/SI/tichavsky-experimental comparison of sparse signal recovery algorithms.pdf

(eng): This report presents an experimental comparison of some of the newest and/or most common algorithms that are used for solving the sparse recovery problem: matching pursuit, orthogonal matching pursuit (OMP), A*OMP, basis pursuit, re-weighted least square (also known as FOCUSS), re-weighted L1 optimization (RL1). The comparison is done on synthetic (random) data set (dictionary) of the size 50x250 and 500x2500.

: BB

2019-01-07 08:39