Title
Nearly Sharp Restricted Isometry Condition Of Rank Aware Order Recursive Matching Pursuit
Abstract
In this paper, we analyze the performance guarantee of the rank aware order recursive matching pursuit (RA-ORMP) algorithm in recovering a group of jointly sparse vectors. Specifically, we show that RA-ORMP accurately reconstructs any group of l linearly independent jointly K-sparse vectors, provided that a sampling matrix satisfies the restricted isometry property (RIP) of order K + 1 withdelta(K+1) < root l/root K + l/4 + root l/4.Furthermore, we show the near-optimality of the proposed guarantee by providing a group of l jointly K-sparse vectors that cannot be recovered by RA-ORMP underdelta(K+1) >= root l/K.
Year
DOI
Venue
2019
10.1109/ISIT.2019.8849290
2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)
Field
DocType
Citations 
Matching pursuit,Discrete mathematics,Combinatorics,Linear independence,Computer science,Matrix (mathematics),Performance guarantee,Isometry,Restricted isometry property,Recursion
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Junhan Kim194.55
Byonghyo Shim293788.51