A Hybrid Hard Thresholding Algorithm for Compressed Sensing
Iterative hard thresholding algorithm (IHT) is a novel and efficient method to solve signal and image recon struction in compressed sensing, but it is sensitive to the initial point and converges to a local optimal solution. Therefore, to overcome its shortcoming, in this paper a hybrid hard thres holding algorithm (HHT) is derived by introducing the simu lated annealing algorithm (SA) into the IHT. And a series of experiments are provided on signal and image reconstruction to assess performance of the algorithm. The experiments and applications show that the proposed algorithm uses less samp ling to construct the signal and image and is more stable, as compared with IHT.
simulated annealing iterative hard thresholding compressed sensing signal reconstruction
Fengmin Xu Shanhe Wang Zongben Xu
Department of Mathematics and Institute for Information and System Science Xian Jiaotong University Department of Mathematics and Institute for Information and System Science Xian Jiaotong University
国际会议
西安
英文
192-196
2011-05-13（万方平台首次上网日期，不代表论文的发表时间）