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On the Sparse Signal Recovery with Parallel Orthogonal Matching Pursuit

Authors
Park, Shin-WoongPark, JeonghongJung, Bang Chul
Issue Date
12월-2013
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Keywords
compressed sensing; orthogonal matching pursuit; mean squared error; multiple candidates
Citation
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E96A, no.12, pp.2728 - 2730
Indexed
SCIE
SCOPUS
Journal Title
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
Volume
E96A
Number
12
Start Page
2728
End Page
2730
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/101486
DOI
10.1587/transfun.E96.A.2728
ISSN
0916-8508
Abstract
In this letter, parallel orthogonal matching pursuit (POMP) is proposed to supplement orthogonal matching pursuit (OMP) which has been widely used as a greedy algorithm for sparse signal recovery. Empirical simulations show that POMP outperforms the existing sparse signal recovery algorithms including OMP, compressive sampling matching pursuit (CoSaMP), and linear programming (LP) in terms of the exact recovery ratio (ERR) for the sparse pattern and the mean-squared error (MSE) between the estimated signal and the original signal.
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