An Optimal Condition for the Block Orthogonal Matching Pursuit Algorithm

An Optimal Condition for the Block Orthogonal Matching Pursuit Algorithm

Recovery of the support of a block K-sparse signal x from a linear model y = Ax + v, where A is a sensing matrix and v is a noise vector, arises from many applications. The block orthogonal matching pursuit (BOMP) algorithm is a popular block sparse recovery algorithm and has received much attention...

Full description

Bibliographic Details
Main Authors: Jinming Wen, Huangke Chen, Zhengchun Zhou
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Compressed sensing
block orthogonal matching pursuit
block mutual coherence
sub-coherence
support recovery
Online Access:https://ieeexplore.ieee.org/document/8404118/

Internet

https://ieeexplore.ieee.org/document/8404118/

Similar Items