Blind Device Detection via Extended Sparsity Estimation-OMP in Grant-Free NOMA-IoT. [PDF]
Andini N +3 more
europepmc +1 more source
An effective solution for analyzing the electromagnetic scattering characteristics of composite conducting dielectric objects under multiple angle incidence. [PDF]
Kong M, Cao XY, Qi Q, Wu XL.
europepmc +1 more source
The Category of Anyon Sectors for Non-Abelian Quantum Double Models. [PDF]
Bols A +3 more
europepmc +1 more source
Are All Species Created Equal? A Critique of the "Equal Fitness Paradigm". [PDF]
Glazier DS.
europepmc +1 more source
Certifying the Restricted Isometry Property is Hard [PDF]
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]
arXiv admin note: substantial text overlap with arXiv:1103 ...
Pascal Koiran
exaly +4 more sources
Restricted Isometry Property of Random Subdictionaries [PDF]
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
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]
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]
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

