Analyzing least squares and Kalman filtered compressed sensing

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 3013-3016

  Vaswani, Namrata ^a  

^a IOWA STATE UNIVERSITY   (United States)

Author keywords

Compressed sensing; Kalman filter; Least squares

Indexed keywords

COMPRESSED SENSING; CURRENT SIGNAL; KALMAN-FILTERING; LEAST SQUARE; LEAST SQUARES; LEAST SQUARES ESTIMATION; NON-ZERO COEFFICIENTS; REDUCED ORDER; SPARSE SIGNALS; SPARSITY PATTERNS; TIME SEQUENCES; TIME VARYING;

ACOUSTICS; CONTROL THEORY; KALMAN FILTERS; SIGNAL RECONSTRUCTION; TESTBEDS;

SIGNAL PROCESSING;

EID: 70349216433     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960258     Document Type: Conference Paper

References (8)

1. N. Vaswani, "Kalman filtered compressed sensing," in IEEE Intl. Conf. Image Proc. (ICIP), 2008.
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6. C. Qiu, W. Lu, and N. Vaswani, "Real-time dynamic mr image reconstruction using kalman filtered compressed sensing," in IEEE Intl. Conf. Acoustics, Speech, Sig. Proc. (ICASSP), 2009.
7. J. Haupt and R. Nowak, "Signal reconstruction from noisy random projections," IEEE Trans. Info. Th., Sept. 2006.
8. N. Vaswani, "Analyzing least squares and kalman filtered compressed sensing," in long version, available at http://www.ece.iastate.edu/ ~namrata/AnalyzeKFCS.pdf, 2008.