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ORCIDCompressed Sensing, 2012
- Yonina C. Eldar, Gitta Kutyniok
:
Compressed Sensing. Cambridge University Press 2012, ISBN 9780511794308 - Preface. ix-xii
- Mark A. Davenport, Marco F. Duarte, Yonina C. Eldar, Gitta Kutyniok:
Introduction to compressed sensing. 1-64 - Alexey Castrodad, Ignacio Ramírez, Guillermo Sapiro, Pablo Sprechmann, Guoshen Yu:
Second-generation sparse modeling: structured and collaborative signal analysis. 65-87 - Moshe Mishali, Yonina C. Eldar:
Xampling: compressed sensing of analog signals. 88-147 - Jose Antonio Urigüen, Yonina C. Eldar, Pier Luigi Dragotti, Zvika Ben-Haim:
Sampling at the rate of innovation: theory and applications. 148-209 - Roman Vershynin:
Introduction to the non-asymptotic analysis of random matrices. 210-268 - Jarvis D. Haupt, Robert D. Nowak:
Adaptive sensing for sparse recovery. 269-304 - Weiyu Xu, Babak Hassibi:
Fundamental thresholds in compressed sensing: a high-dimensional geometry approach. 305-347 - Thomas Blumensath, Michael E. Davies, Gabriel Rilling:
Greedy algorithms for compressed sensing. 348-393 - Andrea Montanari:
Graphical models concepts in compressed sensing. 394-438 - A. Robert Calderbank, Sina Jafarpour:
Finding needles in compressed haystacks. 439-484 - Gitta Kutyniok:
Data separation by sparse representations. 485-514 - Arvind Ganesh, Andrew Wagner, Zihan Zhou, Allen Y. Yang, Yi Ma, John Wright:
Face recognition by sparse representation. 515-539
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