Sciweavers

Share
ICASSP
2009
IEEE

Robust-SL0 for stable sparse representation in noisy settings

10 years 4 months ago
Robust-SL0 for stable sparse representation in noisy settings
In the last few years, we have witnessed an explosion in applications of sparse representation, the majority of which share the need for finding sparse solutions of underdetermined systems of linear equations (USLE’s). Based on recently proposed smoothed -norm (SL0), we develop a noise-tolerant algorithm for sparse representation, namely Robust-SL0, enjoying the same computational advantages of SL0, while demonstrating remarkable robustness against noise. The proposed algorithm is developed by adopting the corresponding optimization problem for noisy settings, followed by theoreticallyjustified approximation to reduce the complexity. Stability properties of Robust-SL0 are rigorously analyzed, both analytically and experimentally, revealing a remarkable improvement in performance over SL0 and other competing algorithms, in the presence of noise.
Armin Eftekhari, Massoud Babaie-Zadeh, Christian J
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Armin Eftekhari, Massoud Babaie-Zadeh, Christian Jutten, Hamid Abrishami Moghaddam
Comments (0)
books