计算机应用研究2013，Vol.30Issue(2)：402-404,3.DOI:10.3969/j.issn.1001-3695.2013.02.023
一种新的压缩采样匹配追踪算法
New compressive sampling matching pursuit algorithm
摘要
Abstract
This paper proposed a new more useful completely perturbed model, which incorporated multiplicative noise correlated with the signal. It presented a new compressive sampling matching pursuit algorithm based on the new model. The proposed algorithm could recover the signal in high probability by constructing sensing measurement matrix which mitigated the coherent interference to get the best support of the signal even in the present of multiplicative noise. The experimental results show that under the same condition, the proposed algorithm can get better reconstruction performances and it is superior to other greedy algorithms and the BP algorithm.关键词
压缩感知/重构算法/压缩采样匹配追踪/噪声扰动Key words
compressed sensing(CS) / reconstruction algorithm/ compressive sampling matching pursuit( CoSaMP) / noise perturbation分类
信息技术与安全科学引用本文复制引用
蒋留兵,黄韬..一种新的压缩采样匹配追踪算法[J].计算机应用研究,2013,30(2):402-404,3.基金项目
国家自然科学基金资助项目(61162007) （61162007）
广西研究生教育创新计划资助项目(2011105950810M11) （2011105950810M11）
