Results 121 to 130 of about 794 (157)

The Category of Anyon Sectors for Non-Abelian Quantum Double Models. [PDF]

open access: yesCommun Math Phys
Bols A   +3 more
europepmc   +1 more source

Certifying the Restricted Isometry Property is Hard [PDF]

open access: yesIEEE Transactions on Information Theory, 2013
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. As a consequence of our result, it is impossible to efficiently test for RIP provided P \neq NP.
Afonso S Bandeira   +2 more
exaly   +3 more sources

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

open access: yesIEEE Transactions on Information Theory, 2014
arXiv admin note: substantial text overlap with arXiv:1103 ...
Pascal Koiran
exaly   +4 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

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

A Remark on the Restricted Isometry Property in Orthogonal Matching Pursuit [PDF]

open access: yesIEEE Transactions on Information Theory, 2012
This paper demonstrates that if the restricted isometry constant $δ_{K+1}$ of the measurement matrix $A$ satisfies $$ δ_{K+1} < \frac{1}{\sqrt{K}+1}, $$ then a greedy algorithm called Orthogonal Matching Pursuit (OMP) can recover every $K$--sparse signal $\mathbf{x}$ in $K$ iterations from $A\x$.
Yi Shen
exaly   +3 more sources

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