Overview
- Explores mathematical connections between harmonic analysis and machine learning, data analysis, and imaging science
- Offers a current and accessible entrance into cutting-edge research in the data sciences
- Features contributions from the 2017 and 2019 Summer Schools on Applied Harmonic Analysis at the University of Genova
Part of the book series: Applied and Numerical Harmonic Analysis (ANHA)
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Table of contents (5 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Harmonic and Applied Analysis
Book Subtitle: From Radon Transforms to Machine Learning
Editors: Filippo De Mari, Ernesto De Vito
Series Title: Applied and Numerical Harmonic Analysis
DOI: https://doi.org/10.1007/978-3-030-86664-8
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-86663-1Published: 14 December 2021
Softcover ISBN: 978-3-030-86666-2Published: 15 December 2022
eBook ISBN: 978-3-030-86664-8Published: 13 December 2021
Series ISSN: 2296-5009
Series E-ISSN: 2296-5017
Edition Number: 1
Number of Pages: XV, 302
Number of Illustrations: 11 b/w illustrations, 14 illustrations in colour
Topics: Abstract Harmonic Analysis, Differential Geometry, Optimization, Data Structures and Information Theory, Artificial Intelligence, Signal, Image and Speech Processing