Compressed sensing : theory and applications

La 4e de couverture indique : Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting recent theoretica...

Description complète

Enregistré dans:
Détails bibliographiques
Autres auteurs : Eldar Yonina C. (Éditeur scientifique), Kutyniok Gitta (Éditeur scientifique)
Format : Livre
Langue : anglais
Titre complet : Compressed sensing : theory and applications / edited by Yonina C. Eldar, ... Gitta Kutyniok, ...
Publié : Cambridge (UK) : Cambridge University Press , copyright 2012
Description matérielle : 1 vol. (XII-544 p.)
Accès en ligne : Sommaire et résumé disponibles sur le site de l'éditeur [consulté le 2014-11-05]
Sujets :
Documents associés : Autre format: Compressed sensing
  • 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
  • 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