Compressive sensing

IEEE Signal Processing Magazine

Volumn 24, Issue 4, 2007, Pages

  Baraniuk, Richard G ^a  

^a Rice University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE COMPRESSION; LEAST SQUARES APPROXIMATIONS; NYQUIST DIAGRAMS; OPTIMIZATION;

COMPRESSIVE SENSING; NONADAPTIVE LINEAR PROJECTION; SIGNAL ACQUISITION;

SIGNAL RECONSTRUCTION;

EID: 85032751965     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/MSP.2007.4286571     Document Type: Article

References (10)

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3. S. Mallat, A Wavelet Tour of Signal Processing. New York: Academic, 1999.
4. R.G. Baraniuk, M. Davenport, R. DeVore, and M.B. Wakin, "A simple proof of the restricted isometry principle for random matrices (aka the Johnson-Lindenstrauss lemma meets compressed sensing)," Constructive Approximation, 2007 Online. Available: http://dsp.rice.edu/cs/jlcs-v03.pdf
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9. M. Vetterli, P. Marziliano, and T. Blu, "Sampling signals with finite rate of innovation," IEEE Trans. Signal Processing, vol. 50, no. 6, pp. 1417-1428, June 2002.
10. D. Takhar, V. Bansal, M. Wakin, M. Duarte, D. Baron, J. Laska, K.F. Kelly, and R.G. Baraniuk, "A compressed sensing camera: New theory and an implementation using digital micromirrors," in Proc. Comput. Imaging IV SPIE Electronic Imaging, San Jose, Jan. 2006.