Toeplitz compressed sensing matrices with applications to sparse channel estimation

IEEE Transactions on Information Theory

Volumn 56, Issue 11, 2010, Pages 5862-5875

  Haupt, Jarvis ^a   Bajwa, Waheed U ^b   Raz, Gil ^c   Nowak, Robert ^d  

^a University of Minnesota   (United States)

^b PRINCETON UNIVERSITY   (United States)

^c GMR Research & Technology   (United States)

^d University of Wisconsin Madison   (United States)

Author keywords

Circulant matrices; compressed sensing; Hankel matrices; restricted isometry property; sparse channel estimation; Toeplitz matrices; wireless communications

Indexed keywords

CIRCULANT MATRIX; COMPRESSED SENSING; HANKEL MATRIX; RESTRICTED ISOMETRY PROPERTY; SPARSE CHANNELS; TOEPLITZ MATRICES; WIRELESS COMMUNICATIONS;

BINARY SEQUENCES; CONVEX OPTIMIZATION; ESTIMATION; IMPULSE RESPONSE; INVARIANCE; MULTIPATH PROPAGATION; PROBABILITY DENSITY FUNCTION; RANDOM VARIABLES; SIGNAL PROCESSING; SIGNAL RECONSTRUCTION; TIME DOMAIN ANALYSIS; VECTORS; WIRELESS TELECOMMUNICATION SYSTEMS;

MATRIX ALGEBRA;

EID: 77956563404     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIT.2010.2070191     Document Type: Article

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