On the rate-distortion performance of compressed sensing

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

Volumn 3, Issue , 2007, Pages

  Fletcher, Alyson K ^a   Rangan, Sundeep ^b   Goyal, Vivek K ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b QUALCOMM INC   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Compressed sensing; Eigenvalue distribution; Quantization; Random matrices; Subspace detection

Indexed keywords

COMPRESSED SENSING; EIGENVALUE DISTRIBUTION; QUANTIZATION; RANDOM MATRICES; SUBSPACE DETECTION;

MAXIMUM LIKELIHOOD ESTIMATION; MEASUREMENT THEORY; RANDOM PROCESSES; SAMPLING; SIGNAL ENCODING; VECTORS;

SIGNAL DISTORTION;

EID: 34547504121     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.366822     Document Type: Conference Paper

References (3)

1. E. Candès and T. Tao, "Near optimal signal recovery from random projections: Universal encoding strategies?," IEEE Trans. Inform. Theory, Oct. 2004, Submitted.
2. D. L. Donoho, "Compressed sensing," IEEE Trans. Inform. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
3. A. K. Fletcher, S. Rangan, V. K Goyal, and K. Ramchandran, "Denoising by sparse approximation: Error bounds based on rate-distortion theory," EURASIP J. Appl. Sig. Proc., vol. 2006, pp. 1-19, Mar. 2006.