Title: A Binary Sparse Signal Pruning Recovery Algorithm

Issue Number: Vol. 8, No. 1
Year of Publication: March - 2018
Page Numbers: 63-69
Authors: Elie Atallah
Journal Name: International Journal of Digital Information and Wireless Communications (IJDIWC)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002407

Abstract:


This paper presents a novel compressive sensing recovery algorithm for binary sparse vectors. This algorithm is a variant of the linear regression coordinate descent algorithm with a suitable modification that makes it able to perform l1minimization. By restricting our analysis to the binary sparse signals case we show promising simulation results. Furthermore, we introduce a matching pursuit algorithm with considerable improved performance.