电讯技术Issue(10)：1289-1292,4.DOI:10.3969/j.issn.1001-893x.2013.10.007
一种基于压缩感知的信号重建新算法
A New Signal Reconstruction Algorithm Based on Compressed Sensing
摘要
Abstract
Combined with the iterative method of generalized inverse, a new algorithm for sparse signal re-construction is developed based on linearized Bregman iteration for solving the basis pursuit problems. Dur-ing calculating Moore-Penrose generalized inverse, the algorithm only has the matrix-vector multiplication by iteration combined with its own,so that the singular value decomposition( SVD) is avoided. The numer-ical experiments show the computation time has reduced by about 2/3 than that of original algorithms. Meanwhile,the recovery of signals is stabe and effective. So this new algorithm is a feasible signal recon-struction algorithm.关键词
信号重构/压缩感知/广义逆/线性化Bregman迭代法/稀疏重构Key words
signal reconstruction/compress sensing/generalized inverse/linearized Bregman iteration/sparse reconstruction分类
信息技术与安全科学引用本文复制引用
乔田田,张宇,李维国..一种基于压缩感知的信号重建新算法[J].电讯技术,2013,(10):1289-1292,4.基金项目
国家自然科学基金资助项目(61101208) （61101208）
中央高校基本科研业务费专项资金(13CX02086A) （13CX02086A）
国家海洋局海洋遥测工程技术研究中心创新青年基金项目(2012003)@@@@The National Natural Science Foundation of China (No.61101208) （2012003）
The Fundamental Research Funds for the Central Uni-versities (13CX02086A) （13CX02086A）
The Innovation Fund of Oceanic Telemetry Engineering and Technology Research Center, State O-ceanic Administration (2012003) （2012003）
