Restricted isometry property

Known as: RIP, Restricted isometry, Restricted isometry constant 
In linear algebra, the restricted isometry property characterizes matrices which are nearly orthonormal, at least when operating on sparse vectors… (More)
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Topic mentions per year

1963-2017
05010019632017

Papers overview

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2015
2015
We study statistical restricted isometry, a property closely related to sparse signal recovery, of deterministic sensing matrices… (More)
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2013
Highly Cited
2013
This paper is concerned with an important matrix condition in compressed sensing known as the restricted isometry property (RIP… (More)
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2012
Highly Cited
2012
We present a new bound for suprema of a special type of chaos processes indexed by a set of matrices, which is based on a… (More)
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Highly Cited
2011
Highly Cited
2011
Compressed Sensing (CS) seeks to recover an unknown vector with N entries by making far fewer than N measurements; it posits that… (More)
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Highly Cited
2010
Highly Cited
2010
Orthogonal matching pursuit (OMP) is the canonical greedy algorithm for sparse approximation. In this paper we demonstrate that… (More)
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2009
2009
The Restricted Isometry Property (RIP) introduced by Candés and Tao is a fundamental property in compressed sensing theory. It… (More)
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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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2008
2008
Compressive Sampling (CS) describes a method for reconstructing high-dimensional sparse signals from a small number of linear… (More)
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Highly Cited
2007
Highly Cited
2007
We give a simple technique for verifying the Restricted Isometry Property (as introduced by Candès and Tao) for random matrices… (More)
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Highly Cited
2007
Highly Cited
2007
In previous work, numerical experiments showed that ` minimization with 0 < p < 1 recovers sparse signals from fewer linear… (More)
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