Compressed Sensing

Herausgeber: Eldar, Yonina C.; Kutyniok, Gitta

• Gebundenes Buch

Produktbeschreibung

Compressed sensing has rapidly become a key concept in various areas of applied mathematics, computer science and electrical engineering. This book highlights theoretical advances and applications in this area. Ideal for both researchers and graduate students seeking an understanding of the potential of compressed sensing.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 558
• Erscheinungstermin: 16. Februar 2016
• Englisch
• Abmessung: 250mm x 175mm x 34mm
• Gewicht: 1102g
• ISBN-13: 9781107005587
• ISBN-10: 1107005582
• Artikelnr.: 34447123

Inhaltsangabe

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.