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压缩感知
许志强
2012-01-01
Source Publication中国科学数学
ISSN1674-7216
Volume042Issue:009Pages:865
Abstract压缩感知是近来国际上热门的研究方向.其主要思想为：利用信号稀疏性的特征,通过尽量少的观测信息恢复信号.压缩感知在多个应用领域,如医学成像、图像处理、地质勘探等中具有很好的应用前景.此外,它与逼近论、最优化、随机矩阵及离散几何等领域密切相关,由此产生了一些漂亮的数学结果.本文综述压缩感知一些基本结果并介绍最新进展.主要包括RIP矩阵编码与l1解码的性能、RIP（restricted isometry property）矩阵的构造、Gelfand宽度、个例最优性及OMP（orthogonalmatching pursuit）解码等.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/47477
Collection计算数学与科学工程计算研究所
Affiliation中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714		 许志强. 压缩感知[J]. 中国科学数学,2012,042(009):865.
APA 许志强.(2012).压缩感知.中国科学数学,042(009),865.
MLA 许志强."压缩感知".中国科学数学 042.009(2012):865.
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