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Compressed sensing

Known as: Compressive sampling, Compressive sensing, Sparse recovery 
Compressed sensing (also known as compressive sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Nowadays, a large amount of information has to be transmitted or processed. This implies high-power processing, large memory… Expand
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Highly Cited
2012
Highly Cited
2012
Machine generated contents note: 1. Introduction to compressed sensing Mark A. Davenport, Marco F. Duarte, Yonina C. Eldar and… Expand
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Highly Cited
2010
Highly Cited
2010
This article presents novel results concerning the recovery of signals from undersampled data in the common situation where such… Expand
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Highly Cited
2009
Highly Cited
2009
A stylized compressed sensing radar is proposed in which the time-frequency plane is discretized into an N times N grid. Assuming… Expand
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Highly Cited
2008
Highly Cited
2008
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal… Expand
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Highly Cited
2008
Highly Cited
2008
The typical paradigm for obtaining a compressed version of a discrete signal represented by a vector x ∈ R is to choose an… Expand
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Highly Cited
2007
Highly Cited
2007
  • R. Baraniuk
  • IEEE Signal Processing Magazine
  • 2007
  • Corpus ID: 1586291
This lecture note presents a new method to capture and represent compressible signals at a rate significantly below the Nyquist… Expand
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Highly Cited
2007
Highly Cited
2007
In the emerging paradigm of open spectrum access, cognitive radios dynamically sense the radio-spectrum environment and must… Expand
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Highly Cited
2006
Highly Cited
2006
  • D. Donoho
  • IEEE Transactions on Information Theory
  • 2006
  • Corpus ID: 206737254
Suppose x is an unknown vector in Ropfm (a digital image or signal); we plan to measure n general linear functionals of x and… Expand
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Highly Cited
2006
Highly Cited
2006
We study the notion of compressed sensing (CS) as put forward by Donoho, Candes, Tao and others. The notion proposes a signal or… Expand
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