+91 8617752708

Journal of Advances in Mathematics and Computer Science, ISSN: 2456-9968, ISSN: 2231-0851 (Past),Vol.: 30, Issue.: 1

Original-research-article

A New Projection Type Algorithm for Compressive Sensing

 

Bohan Zhang1 and Hongchun Sun2*
1School of Information Science and Engineering, Jinan University, Jinan, Shandong, 250022, P.R. China.
2School of Mathematics and Statistics, Linyi University, Linyi, Shandong, 276005, P.R. China.

Article Information
Editor(s):
(1) Dr. Mangatiana A. Robdera, Professor, Department of Mathematics, University of Botswana, Botswana.
Reviewers:
(1) Hui Yang, Beijing University of Posts and Telecommunications (BUPT), China.
(2) Anand Nayyar, Duy Tan University, Vietnam.
Complete Peer review History: http://www.sciencedomain.org/review-history/27949

Abstracts

Compressive sensing (CS) is to recover a sparse signal from an undetermined linear system, which has received considerable interest, and some customized iterative methods for solving CS have been proposed in recent years. In this paper, we further consider an algorithm for solving the CS. To this end, a new projection-type algorithm (PTA) is proposed to solve CS based on a new formulation of the problem, which needs only one projection onto the nonnegative quadrant and only one value of the mapping per iteration. Global convergence results of the new algorithm is established. Furthermore, we illustrate the efficiency of given algorithm through some numerical examples on sparse signal recovery.

Keywords :

Compressive sensing; projection-type algorithm; global convergence.

Full Article - PDF    Page 1-11

DOI : 10.9734/JAMCS/2019/45973

Review History    Comments

Our Contacts

Guest House Road, Street no - 1/6,
Hooghly, West Bengal,
India

+91 8617752708

 

Third Floor, 207 Regent Street
London, W1B 3HH,
UK

+44 20-3031-1429