Editors:
- Highlights state-of-the-art applications and methodologies of compressed sensing
- Contains chapters written by leading experts in the fields of compressed sensing and deep learning
- Includes a self-contained introduction to the theory and applications of compressed sensing
Part of the book series: Applied and Numerical Harmonic Analysis (ANHA)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
- Quantized compressed sensing
- Classification
- Machine learning
- Oracle inequalities
- Non-convex optimization
- Image reconstruction
- Statistical learning theory
This volume will be a valuable resource for graduate students and researchers in the areas of mathematics, computer science, and engineering, as well as other applied scientists exploring potential applications of compressed sensing.
Keywords
- Compressed sensing
- Compressed sensing theory and applications
- Compressed sensing book
- Compressed sensing introduction
- Compressed sensing 2019
- Deep learning compressed sensing
- Deep learning book
- Machine learning
- Quantized compressed sensing
- Signal sensing book
- Generalization error machine learning
- MATHEON conference
- information and communication, circuits
Editors and Affiliations
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Department of Electrical and Computer Engineering, Munich Center for Quantum Science and Technology (MCQST), Technical University of Munich, Munich, Germany
Holger Boche
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Institute of Telecommunications Systems, Technical University of Berlin, Berlin, Germany
Giuseppe Caire
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Department of Electrical and Computer Engineering, Duke University, Durham, USA
Robert Calderbank
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Department of Mathematics, Technical University of Berlin, Berlin, Germany
Gitta Kutyniok
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Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany
Rudolf Mathar
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Mathematical Institute, University of Oxford, Oxford, UK
Philipp Petersen
Bibliographic Information
Book Title: Compressed Sensing and Its Applications
Book Subtitle: Third International MATHEON Conference 2017
Editors: Holger Boche, Giuseppe Caire, Robert Calderbank, Gitta Kutyniok, Rudolf Mathar, Philipp Petersen
Series Title: Applied and Numerical Harmonic Analysis
DOI: https://doi.org/10.1007/978-3-319-73074-5
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-319-73073-8Published: 14 August 2019
eBook ISBN: 978-3-319-73074-5Published: 13 August 2019
Series ISSN: 2296-5009
Series E-ISSN: 2296-5017
Edition Number: 1
Number of Pages: XVII, 295
Number of Illustrations: 18 b/w illustrations, 39 illustrations in colour
Topics: Information and Communication, Circuits, Fourier Analysis, Mathematical Applications in Computer Science, Machine Learning, Signal, Image and Speech Processing