压缩感知理论及其研究进展_石光明要点详解.pdf

5 　　　　　　 Vol.37　No.5 　2009 5 ACTA ELECTR NICA SINICA May　2009 　 1 1 1, 2 3 1 1 石光明, 刘丹华, 高大化 , 刘　哲, 林　杰, 王良君 (1. , 710071; 2., 710051;3., 710072) 　　　:　.、 .. (Compressed Sensing, CS).CS , 、, , , CS . :　;;; :　TN911.72　　　:　A　　　:　0372-2112 (2009)05-1070-12 Advances in Theory and Application of Compressed Sensing 1 1 1, 2 3 1 1 SHI Guang-ming , LIU Dan-hua ,GA Da-hua , LIU Zhe , LIN Jie , WANG Liang-jun (1.IntelligentPerception and Image Understanding Key Laboratory of Ministry of Education, Xidian University, Xi an, Shaanxi 710071, China; 2.School of Science, ir Force Engineering University, Xi an, Shaanxi 710051, China; 3.School of Science, Northwestern Polytechnical University, Xi an, Shaanxi 710072, China) Abstract:　Sampling is the bridge between analog source signal and digital signal.With the rapid progress of information technologies, the demands for information are increasing dramatically.So the existing systems are very difficult to meet the chal- lenges of high speed sampling, large volume data transmission and storage.How to acquire information in signal efficiently is an ur- gent problem in electronic information fields.In recent years, an emerging theory of signal acquirement——— compressed sensing (CS)provides a golden opportunity for solving this problem.This paper reviews the theoretical framework and the key technical problems of compressedsensing and introduces thelatest developments of signal sparserepresentation, design of measurement matrix and reconstruction algorithm.Then this paper also reviews several open problems in CS theory and discusses the existing diff