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Boche, Holger (EDT); Caire, Giuseppe (EDT); Calderbank, Robert (EDT); März, Maximilian (EDT); Kutyniok, Gitta (EDT)
Langue : anglais
Edité par Birkhäuser, 2019
Série : Livre 70 sur 88 - Applied and Numerical Harmonic Analysis
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- Titre
- Compressed Sensing and Its Applications : Second International Matheon Conference 2015
- Auteur
- Boche, Holger (EDT); Caire, Giuseppe (EDT); Calderbank, Robert (EDT); März, Maximilian (EDT); Kutyniok, Gitta (EDT)
- Éditeur
- Birkhäuser
- Année de publication
- 2019
- État de l'article
- As New
- Reliure
- Couverture souple
- Langue
- anglais
- ISBN à 10 chiffres
- 3319888455
- ISBN à 13 chiffres
- 9783319888453
- Série
- Livre 70 sur 88: Applied and Numerical Harmonic Analysis
This contributed volume contains articles written by the plenary and invited speakers from the second international MATHEON Workshop 2015 that focus on applications of compressed sensing. Article authors address their techniques for solving the problems of compressed sensing, as well as connections to related areas like detecting community-like structures in graphs, curbatures on Grassmanians, and randomized tensor train singular value decompositions. Some of the novel applications covered include dimensionality reduction, information theory, random matrices, sparse approximation, and sparse recovery.
This book is aimed at both graduate students and researchers in the areas of applied mathematics, computer science, and engineering, as well as other applied scientists exploring the potential applications for the novel methodology of compressed sensing. An introduction to the subject of compressed sensing is also provided for researchers interested in the field who are not as familiar with it.
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de la quatrième de couverture
This contributed volume contains articles written by the plenary and invited speakers from the second international MATHEON Workshop 2015 that focus on applications of compressed sensing. Article authors address their techniques for solving the problems of compressed sensing, as well as connections to related areas like detecting community-like structures in graphs, curbatures on Grassmanians, and randomized tensor train singular value decompositions. Some of the novel applications covered include dimensionality reduction, information theory, random matrices, sparse approximation, and sparse recovery.
This book is aimed at both graduate students and researchers in the areas of applied mathematics, computer science, and engineering, as well as other applied scientists exploring the potential applications for the novel methodology of compressed sensing. An introduction to the subject of compressed sensing is also provided for researchers interested in the field who are not as familiar with it.
« A propos de ce titre » peut appartenir à une autre édition de cet ouvrage.
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