Compressive sampling of multiple sparse signals having common support using finite rate of innovation principles

IEEE Signal Processing Letters

Volumn 18, Issue 5, 2011, Pages 331-334

  Hormati, Ali ^a   Vetterli, Martin ^a,b  

^a EPFL   (Switzerland)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Annihilating filter; compressed sensing; Cram rRao bound; finite rate of innovation; MIMO channel estimation; multichannel sampling

Indexed keywords

ANNIHILATING FILTER; COMPRESSED SENSING; FINITE RATE OF INNOVATION; MIMO CHANNEL ESTIMATION; MULTICHANNEL SAMPLING;

COMMUNICATION SYSTEMS; ELECTROMAGNETIC WAVES; ESTIMATION; MIMO SYSTEMS; MULTIPATH PROPAGATION; ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING; RECEIVING ANTENNAS; SENSOR NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

SIGNAL RECONSTRUCTION;

EID: 79953813235     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2011.2131649     Document Type: Article

References (6)

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