Compressed Sensing
Compressed Sensing
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DOI：
10.1017/cbo9780511794308
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Gitta Kutyniok
中科院分区：
文献类型：
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作者：
Gitta Kutyniok
机器生成的内容注：1.压缩传感器简介Mark A. Marco F. Davenport尤尼娜·杜阿尔特Eldar和Gitta Kutyniok; 2.第二代稀疏建模：结构化和协作信号分析Alexey Castrodad、伊格纳西奥拉米雷斯、吉列尔莫萨皮罗、巴勃罗斯普雷奇曼和于国申; 3.模拟信号的压缩感知Moshe Mishali和Yonina C. 4.第一次创新率抽样：理论与应用。Eldar、Pier Luigi Dragotta和Zvika Ben-Haim; 5.随机矩阵的非渐进分析简介Roman Vershynin; 6.自适应感测稀疏恢复贾维斯奥普特和罗伯特诺瓦克; 7.压缩感知中的基本阈值：高维几何方法Weiyu Xu和Babak Hassibi; 8.压缩感知的贪婪算法托马斯Blumensath，迈克尔E。戴维斯和加布里埃尔·伯林; 9.压缩感知中的图形模型概念Andrea Montanari; 10.在压缩的干草堆中寻找针罗伯特·卡尔德班克、西娜·贾法尔普尔和杰里米·肯特; 11.稀疏表示的数据分离Gitta Kutyniok; 12.基于稀疏表示的人脸识别. Yang，Yi Ma，John Wright.
Machine generated contents note: 1. Introduction to compressed sensing Mark A. Davenport, Marco F. Duarte, Yonina C. Eldar and Gitta Kutyniok; 2. Second generation sparse modeling: structured and collaborative signal analysis Alexey Castrodad, Ignacio Ramirez, Guillermo Sapiro, Pablo Sprechmann and Guoshen Yu; 3. Xampling: compressed sensing of analog signals Moshe Mishali and Yonina C. Eldar; 4. Sampling at the rate of innovation: theory and applications Jose Antonia Uriguen, Yonina C. Eldar, Pier Luigi Dragotta and Zvika Ben-Haim; 5. Introduction to the non-asymptotic analysis of random matrices Roman Vershynin; 6. Adaptive sensing for sparse recovery Jarvis Haupt and Robert Nowak; 7. Fundamental thresholds in compressed sensing: a high-dimensional geometry approach Weiyu Xu and Babak Hassibi; 8. Greedy algorithms for compressed sensing Thomas Blumensath, Michael E. Davies and Gabriel Rilling; 9. Graphical models concepts in compressed sensing Andrea Montanari; 10. Finding needles in compressed haystacks Robert Calderbank, Sina Jafarpour and Jeremy Kent; 11. Data separation by sparse representations Gitta Kutyniok; 12. Face recognition by sparse representation Arvind Ganesh, Andrew Wagner, Zihan Zhou, Allen Y. Yang, Yi Ma and John Wright.