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ID:27272361
大小:2.90 MB
页数:69页
时间:2018-12-02
《基于ridgelet冗余字典的非凸压缩感知重构方法》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、·muchwellthanOMPalgorithmandIHTalgorithmregardlessofthevisualeffects,PSNRandSSIM.Keyword:geneticalgorithmcloneselectionalgorithmstructurepriornon-convexcompressedsensing····目录第一章绪论...............................................................................................................
2、......1 1.1研究背景..............................................................................................................1 1.2压缩感知理论简介..............................................................................................2 1.2.1压缩感知理论框架............................................
3、........................................2 1.2.2稀疏表示....................................................................................................2 1.2.3观测矩阵....................................................................................................3 1.3论文的研究意义及主要工作............
4、..................................................................4 1.4论文的结构..........................................................................................................5 第二章压缩感知框架下的重构理论.............................................................................7 2.1压缩感知重构理论..
5、............................................................................................7 2.1.1信号重构理论背景....................................................................................7 2.1.2信号重构算法研究现状............................................................................7 2.2分块
6、压缩感知重构..............................................................................................9 2.3分布式压缩感知重构........................................................................................11 第三章自然计算及其相关算法.........................................................................
7、..........13 3.1自然计算简介....................................................................................................13 ····3.2遗传算法............................................................................................................13 3.2.1遗传
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