电子学报2011，Vol.39Issue(1)：18-22,5.
压缩感知信号盲稀疏度重构算法
A Blind Sparsity Reconstruction Algorithm for Compressed Sensing Signal
摘要
Abstract
A new blind sparsity iterative greedy reconstruction algorithm is presented based on studying the signal reconstruction algorithm for compressed sensing without the prior information of signal sparsity. A stage-wised and backtracking method is employed to adaptively adjust the candidate list at each iteration in order to estimate the true supporting set of the approximated signal.The theoretical analysis and experiment simulation prove thai the performance of the algorithm outperforns that of the existing state-of-art iterative greedy matching pursuit algorithms, and provides a generalized greedy reconstruction framework. The orthogonal matching pursuit and subspace pursuit can be viewed as its special case, and it also gives the best wade-offs between computational complexity and reconstruction performance. This makes it a promising candidate for many practical applications for compressed sensing signal reconstruction.关键词
压缩感知/匹配跟踪/盲稀疏度/重构算法Key words
compressed sensing/blind sparsity/matching pursuit/reconstruction algorithm分类
信息技术与安全科学引用本文复制引用
张宗念,黄仁泰,闫敬文..压缩感知信号盲稀疏度重构算法[J].电子学报,2011,39(1):18-22,5.基金项目
国家自然科学基金(No.40971206) （No.40971206）
广东省自然科学基金(No.9151170003000017) （No.9151170003000017）
