自动化学报2012，Vol.38Issue(7)：1218-1223,6.DOI:10.3724/SP.J.1004.2012.01218
基于谱投影梯度追踪的压缩感知重建算法
Compressed Sensing Reconstruction Algorithm Based on Spectral Projected Gradient Pursuit
摘要
Abstract
In order to improve the reconstruction accuracy and efficiency of the directional pursuit algorithm, a compressed sensing (CS) reconstruction algorithm based on spectral projected gradient (SPG) pursuit is proposed. Directional pursuit frame is adopted by this algorithm. The update direction and step length are computed by spectral projected gradient method. Local optimal is avoided by adopting the nonmonotone hue search strategy. The validity of the proposed algorithm was proved by the experimental results. The balance between reconstruction accuracy and efficiency of the algorithm can be achieved by setting an appropriate threshold parameter.关键词
压缩感知/信号重建/谱投影梯度/方向追踪Key words
Compressed sensing (CS), signal reconstruction, spectral projected gradient (SPG), directional pursuit引用本文复制引用
李志林,陈后金,姚畅,李居朋..基于谱投影梯度追踪的压缩感知重建算法[J].自动化学报,2012,38(7):1218-1223,6.基金项目
中央高校基本科研业务费专项资金(2009YJS003,2011JBM003),教育部高等学校博士学科点科研基金(20110009110001),中国博士后科学基金(20110490286):北京市属高等学校人才强教计划资助项目 (PHR(IHLB))资助 （2009YJS003,2011JBM003）
