Sparse regularized total least squares for sensing applications

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Volumn , Issue , 2010, Pages

  Zhu, Hao ^a   Leus, Geert ^b   Giannakis, Georgios B ^a  

^a University of Minnesota   (United States)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Direction of arrival estimation; Sparsity; Spectrum sensing; Total least squares (TLS)

Indexed keywords

COMPRESSIVE SAMPLING; CONTINUOUS FIELDS; DIRECTION OF ARRIVAL ESTIMATION; FINITE NUMBER; LEAST SQUARES; MATRIX; NOISE TERMS; NON-IDEALITIES; SENSING APPLICATIONS; SENSING PROBLEMS; SPARSE RECONSTRUCTION; SPARSITY; SPECTRUM SENSING; STATIONARY POINTS; TOTAL LEAST SQUARES;

ALGORITHMS; DIRECTION OF ARRIVAL; SIGNAL PROCESSING; WIRELESS TELECOMMUNICATION SYSTEMS;

ATOMS;

EID: 78751487418     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SPAWC.2010.5671061     Document Type: Conference Paper

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