Overview
- Explores many of the novel applications of compressed sensing developed since the previous MATHEON Workshop in 2013
- Chapters written by leading researchers in compressed sensing with backgrounds in mathematics, computer science, and engineering
- A thorough introduction to compressed sensing provided for readers who may not be familiar with it
- Will appeal to a broad audience with research in areas ranging from applied mathematics, signal processing, and electrical engineering to computer science, image sciences, and sparse approximation
Part of the book series: Applied and Numerical Harmonic Analysis (ANHA)
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Table of contents (12 chapters)
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Compressed Sensing and its Applications
Book Subtitle: Second International MATHEON Conference 2015
Editors: Holger Boche, Giuseppe Caire, Robert Calderbank, Maximilian März, Gitta Kutyniok, Rudolf Mathar
Series Title: Applied and Numerical Harmonic Analysis
DOI: https://doi.org/10.1007/978-3-319-69802-1
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-69801-4Published: 26 January 2018
Softcover ISBN: 978-3-319-88845-3Published: 04 June 2019
eBook ISBN: 978-3-319-69802-1Published: 17 January 2018
Series ISSN: 2296-5009
Series E-ISSN: 2296-5017
Edition Number: 1
Number of Pages: XIX, 388
Number of Illustrations: 20 b/w illustrations, 57 illustrations in colour
Topics: Information and Communication, Circuits, Numerical Analysis, Signal, Image and Speech Processing, Coding and Information Theory, Linear and Multilinear Algebras, Matrix Theory, Computational Science and Engineering