资源简介
压缩感知的第一本书籍,很不错的,各位大牛每人负责一章,可惜的是还不完全,还有几章未编出,希望对你有用
代码片段和文件信息
属性 大小 日期 时间 名称
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文件 838838 2011-10-26 15:03 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 01 Introduction to Compressed.pdf
文件 6177865 2011-10-26 15:16 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 03 Xampling Compressed Sensing of Analog Signals.pdf
文件 2855009 2011-10-26 15:39 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 04 Sampling at the Rate of Innovation Theory and Applications.pdf
文件 667399 2011-10-26 15:24 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 05 Introduction to the non-asymptotic analysis of random matrices.pdf
文件 1145906 2011-10-26 15:21 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 06 Adaptive Sensing for Sparse Recovery.pdf
文件 553077 2011-10-26 15:43 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 09 Graphical Models Concepts in Compressed Sensing.pdf
文件 959901 2011-10-26 15:12 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 11 Data Separation by Sparse Representations.pdf
文件 6747405 2011-10-26 15:36 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 12 Face recognition by sparse representation Arvind Ganesh.pdf
文件 1249 2011-10-26 15:15 Compressed Sensing Theory and Applications Cambridge University Press 2011\Contents.txt
文件 22935 2011-10-26 15:36 Compressed Sensing Theory and Applications Cambridge University Press 2011\cover.jpg
文件 75190 2012-10-11 20:35 Compressed Sensing Theory and Applications Cambridge University Press 2011\目录.pdf
文件 21504 2012-10-12 11:17 Compressed Sensing Theory and Applications Cambridge University Press 2011\第一章.doc
文件 13119033 2012-10-11 20:17 Compressed Sensing Theory and Applications Cambridge University Press 2011\算法导学 麻省理工Introduction.to.Algorithms.Second.Edition.pdf
目录 0 2012-10-12 11:17 Compressed Sensing Theory and Applications Cambridge University Press 2011
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33185311 14
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文件 838838 2011-10-26 15:03 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 01 Introduction to Compressed.pdf
文件 6177865 2011-10-26 15:16 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 03 Xampling Compressed Sensing of Analog Signals.pdf
文件 2855009 2011-10-26 15:39 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 04 Sampling at the Rate of Innovation Theory and Applications.pdf
文件 667399 2011-10-26 15:24 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 05 Introduction to the non-asymptotic analysis of random matrices.pdf
文件 1145906 2011-10-26 15:21 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 06 Adaptive Sensing for Sparse Recovery.pdf
文件 553077 2011-10-26 15:43 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 09 Graphical Models Concepts in Compressed Sensing.pdf
文件 959901 2011-10-26 15:12 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 11 Data Separation by Sparse Representations.pdf
文件 6747405 2011-10-26 15:36 Compressed Sensing Theory and Applications Cambridge University Press 2011\Chapter 12 Face recognition by sparse representation Arvind Ganesh.pdf
文件 1249 2011-10-26 15:15 Compressed Sensing Theory and Applications Cambridge University Press 2011\Contents.txt
文件 22935 2011-10-26 15:36 Compressed Sensing Theory and Applications Cambridge University Press 2011\cover.jpg
文件 75190 2012-10-11 20:35 Compressed Sensing Theory and Applications Cambridge University Press 2011\目录.pdf
文件 21504 2012-10-12 11:17 Compressed Sensing Theory and Applications Cambridge University Press 2011\第一章.doc
文件 13119033 2012-10-11 20:17 Compressed Sensing Theory and Applications Cambridge University Press 2011\算法导学 麻省理工Introduction.to.Algorithms.Second.Edition.pdf
目录 0 2012-10-12 11:17 Compressed Sensing Theory and Applications Cambridge University Press 2011
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33185311 14
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