Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing

IEEE International Symposium on Information Theory - Proceedings

Volumn , Issue , 2012, Pages 1231-1235

  Donoho, David L ^a   Javanmard, Adel ^b   Montanari, Andrea ^b  

^a STANFORD UNIVERSITY   (United States)

^b Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CODING THEORY; COMPRESSIVE SENSING; DIAGONAL MATRICES; EMPIRICAL DISTRIBUTIONS; FINITE SET; HIGH PROBABILITY; INFORMATION DIMENSIONS; MESSAGE PASSING ALGORITHM; RANDOM SIGNAL; RECONSTRUCTION PROBLEMS; SPARSE SIGNALS; SPATIAL COUPLINGS; STATE EVOLUTIONS; UNDER-SAMPLING;

ALGORITHMS; COMPUTER PROGRAMMING; CONCRETE BEAMS AND GIRDERS; PROBABILITY DISTRIBUTIONS; SIGNAL RECONSTRUCTION;

INFORMATION THEORY;

EID: 84867532177     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIT.2012.6283053     Document Type: Conference Paper

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