Improving the thresholds of sparse recovery: An analysis of a two-step reweighted basis pursuit algorithm

IEEE Transactions on Information Theory

Volumn 61, Issue 9, 2015, Pages 5116-5128

  Khajehnejad, M Amin ^a   Xu, Weiyu ^b   Avestimehr, A Salman ^c   Hassibi, Babak ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF IOWA   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

basis pursuit; compressed sensing; Iterative reweighted; phase transition

Indexed keywords

ALGORITHMS; COMPRESSED SENSING; ITERATIVE METHODS; PHASE TRANSITIONS;

BASIS PURSUITS; CONTINUOUS DISTRIBUTION; GAUSSIAN MEASUREMENTS; ITERATIVE REWEIGHTED; LINEAR MEASUREMENTS; RECOVERY ALGORITHMS; RECOVERY THRESHOLDS; SYSTEM DIMENSION;

RECOVERY;

EID: 84939856440     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIT.2015.2448690     Document Type: Conference Paper

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