Thresholded smoothed ℓ₀ norm for accelerated sparse recovery

Wang, Han, Guo, Qing, Zhang, Gengxin, Li, Guangxia, and Xiang, Wei (2015) Thresholded smoothed ℓ₀ norm for accelerated sparse recovery. IEEE Communications Letters, 19 (6). pp. 953-956.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1109/LCOMM.2015.241...
 
6
1


Abstract

Smoothed ℓ0 norm (SL0) is a fast and complex domain extendible sparse recovery algorithm which is suitable for many practical real-time applications. In this letter, we propose an improved algorithm termed “Thresholded Smoothed ℓ0 Norm (T-SL0)” for accelerating the iterative process of SL0. T-SL0 introduces an iterative efficiency indicator and compares it with a preset threshold in real time to determine whether or not the current iteration should be executed. Through identifying and bypassing low efficient iterations, our approach converges much faster than the original SL0 algorithm. Experimental results are presented to demonstrate that our approach can accelerate SL0 significantly without loss of accuracy.

Item ID: 52243
Item Type: Article (Research - C1)
ISSN: 1558-2558
Keywords: compressive sensing; smoothed ℓ0 norm (SL0); sparse recovery
Date Deposited: 31 Jan 2018 03:24
FoR Codes: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified @ 100%
Downloads: Total: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page