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JC
2007
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13 years 7 months ago
Deterministic constructions of compressed sensing matrices
Compressed sensing is a new area of signal processing. Its goal is to minimize the number of samples that need to be taken from a signal for faithful reconstruction. The performan...
Ronald A. DeVore
ICIP
2009
IEEE
14 years 8 months ago
Compressed Sensing Of Natural Images
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study block compressed sensing for natural images, where i...
ICASSP
2008
IEEE
14 years 2 months ago
Approximate lower bounds for rate-distortion in compressive sensing systems
We attempt to quantify the possible gains that can be achieved by examining a rate-distortion competition between a conventional and a compressive sampling solution to data rate r...
Bernard Mulgrew, Michael E. Davies
ICASSP
2010
IEEE
13 years 7 months ago
Kronecker product matrices for compressive sensing
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
Marco F. Duarte, Richard G. Baraniuk
ICASSP
2009
IEEE
14 years 2 months ago
Compressive wide-band spectrum sensing
We present a compressive wide-band spectrum sensing scheme for cognitive radios. The received analog signal at the cognitive radio sensing receiver is transformed in to a digital ...
Yvan Lamelas Polo, Ying Wang, Ashish Pandharipande...