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… (More)
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Topic mentions per year

Topic mentions per year

1978-2019
05001000150019782019

Papers overview

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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… (More)
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Highly Cited
2009
Highly Cited
2009
We address the problem of reconstructing a multiband signal from its sub-Nyquist pointwise samples, when the band locations are… (More)
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Highly Cited
2008
Highly Cited
2008
It is now well-known that one can reconstruct sparse or compressible signals accurately from a very limited number of… (More)
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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… (More)
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Highly Cited
2007
Highly Cited
2007
Many problems in signal processing and statistical inference involve finding sparse solutions to under-determined, or ill… (More)
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Highly Cited
2007
Highly Cited
2007
Compressed sensing (CS) offers a joint compression and sensing processes, based on the existence of a sparse representation of… (More)
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Highly Cited
2007
Highly Cited
2007
  • Lu Gan
  • 2007 15th International Conference on Digital…
  • 2007
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study… (More)
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Highly Cited
2006
Highly Cited
2006
Suppose x is an unknown vector in Ropfm (a digital image or signal); we plan to measure n general linear functionals of x and… (More)
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Highly Cited
2006
Highly Cited
2006
We study the notion of Compressed Sensing (CS) as put forward in [14] and related work [20, 3, 4]. The basic idea behind CS is… (More)
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Highly Cited
2005
Highly Cited
2005
Compressed sensing is an emerging field based on the revelation that a small collection of linear projections of a sparse signal… (More)
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