Open AccessRobust recovery algorithm for compressed sensing in the presence of noise
Author(s) -
Meena V.,
Abhilash G.
Publication year - 2016
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2015.0067
Subject(s) - compressed sensing , matching pursuit , computer science , signal recovery , minimisation (clinical trials) , algorithm , entropy (arrow of time) , signal reconstruction , noise measurement , noise (video) , signal processing , noise suppression , pattern recognition (psychology) , speech recognition , artificial intelligence , noise reduction , mathematics , bandwidth (computing) , telecommunications , statistics , radar , physics , quantum mechanics , image (mathematics)
The authors propose entropy minimisation‐based matching pursuit algorithm which has the capability to reject noise even when the noise level is comparable to the signal level. The proposed algorithm can cater to compressible signals and sparse signals with unknown sparsity.