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Hidden Cliques and the Certification of the Restricted Isometry Property [PDF]

open access: yesIEEE Transactions on Information Theory, 2014
International audienceCompressed sensing is a technique for finding sparse solutions to underdetermined linear systems. This technique relies on properties of the sensing matrix such as the restricted isometry property. Sensing matrices that satisfy this
Pascal Koiran, Anastasios Zouzias
exaly   +6 more sources

Certifying the restricted isometry property is hard [PDF]

open access: yesIEEE Transactions on Information Theory, 2012
This paper is concerned with an important matrix condition in compressed sensing known as the restricted isometry property (RIP). We demonstrate that testing whether a matrix satisfies RIP is NP-hard.
Bandeira, Afonso S.   +3 more
core   +2 more sources

Restricted Isometry Property for General p-Norms [PDF]

open access: yesIEEE Transactions on Information Theory, 2015
The Restricted Isometry Property (RIP) is a fundamental property of a matrix which enables sparse recovery. Informally, an $m \times n$ matrix satisfies RIP of order $k$ for the $\ell_p$ norm, if $\|Ax\|_p \approx \|x\|_p$ for every vector $x$ with at ...
Allen-Zhu, Zeyuan   +2 more
core   +7 more sources

Computational Complexity of Certifying Restricted Isometry Property [PDF]

open access: yesCoRR, 2014
Given a matrix $A$ with $n$ rows, a number ...
Natarajan, Abhiram, Wu, Yi
core   +6 more sources

The Restricted Isometry Property of Subsampled Fourier Matrices [PDF]

open access: yesProceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2015
A matrix $A \in \mathbb{C}^{q \times N}$ satisfies the restricted isometry property of order $k$ with constant $\varepsilon$ if it preserves the $\ell_2$ norm of all $k$-sparse vectors up to a factor of $1\pm \varepsilon$.
Haviv, Ishay, Regev, Oded
core   +3 more sources

The road to deterministic matrices with the restricted isometry property [PDF]

open access: yesJournal of Fourier Analysis and Applications, 2012
The restricted isometry property (RIP) is a well-known matrix condition that provides state-of-the-art reconstruction guarantees for compressed sensing.
A.S. Bandeira   +39 more
core   +6 more sources

Restricted Isometry Property of Random Subdictionaries [PDF]

open access: yesIEEE Transactions on Information Theory, 2015
To appear in the IEEE Transactions on Information Theory, 2015.
Alexander Barg, Arya Mazumdar
exaly   +3 more sources

Orthogonal Matching Pursuit under the Restricted Isometry Property * [PDF]

open access: yesConstructive Approximation, 2016
International audienceThis paper is concerned with the performance of Orthogonal Matching Pursuit (OMP) algorithms applied to a dictionary D in a Hilbert space H.
Cohen, Albert   +2 more
core   +8 more sources

Approximately Certifying the Restricted Isometry Property is Hard

open access: yesIEEE Transactions on Information Theory, 2018
A matrix is said to possess the Restricted Isometry Property (RIP) if it acts as an approximate isometry when restricted to sparse vectors. Previous work has shown it to be NP-hard to determine whether a matrix possess this property, but only in a narrow range of parameters.
Jonathan Weed
exaly   +3 more sources

Fusion Frames and the Restricted Isometry Property [PDF]

open access: yesNumerical Functional Analysis and Optimization, 2012
We will show that tight frames satisfying the restricted isometry property give rise to nearly tight fusion frames which are nearly orthogonal and hence are nearly equi-isoclinic. We will also show how to replace parts of the RIP frame with orthonormal sets while maintaining the RIP property.
Jameson Cahill, Peter G Casazza
exaly   +3 more sources

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