Title :
Rewighted L1-minimization for sparse solutions to underdetermined linear systems
Author :
Zhengguang Xie ; Jianping Hu
Author_Institution :
Sch. of Electron. & Inf., Nantong Univ., Nantong, China
Abstract :
We proposed a simple and efficient iteratively reweighted algorithm with iterative support set to improve the recover performance for compressive sensing (CS). The numerical experiential results demonstrate that the new method outperforms in successful probabilities, compared with classical l1 -minimization and other iteratively reweighted l1 -algorithms.
Keywords :
compressed sensing; iterative methods; linear systems; minimisation; CS; compressive sensing; iterative support set; iteratively reweighted algorithm; recover performance; reweighted l1 -algorithms; reweighted l1-minimization; sparse solutions; underdetermined linear systems; Algorithm design and analysis; Compressed sensing; Educational institutions; Linear systems; Minimization; Signal processing; Signal processing algorithms; Compressive sensing; Merit function; Reweighted algorithm; Support set; l1 -Minimization;
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
DOI :
10.1109/CISP.2013.6743943
