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Compressed Sensing in Information Processing /

This contributed volume showcases the most significant results obtained from the DFG Priority Program on Compressed Sensing in Information Processing. Topics considered revolve around timely aspects of compressed sensing with a special focus on applications, including compressed sensing-like approac...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kutyniok, Gitta (Editor), Rauhut, Holger (Editor), Kunsch, Robert J. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Birkhäuser, 2022.
Edition:1st ed. 2022.
Series:Applied and Numerical Harmonic Analysis,
Subjects:
Harmonic analysis.
Mathematics-Data processing.
Signal processing.
Image processing.
Abstract Harmonic Analysis.
Computational Mathematics and Numerical Analysis.
Digital and Analog Signal Processing.
Image Processing.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This contributed volume showcases the most significant results obtained from the DFG Priority Program on Compressed Sensing in Information Processing. Topics considered revolve around timely aspects of compressed sensing with a special focus on applications, including compressed sensing-like approaches to deep learning; bilinear compressed sensing - efficiency, structure, and robustness; structured compressive sensing via neural network learning; compressed sensing for massive MIMO; and security of future communication and compressive sensing.
Physical Description:1 online resource (XVII, 542 pages 116 illustrations, 90 illustrations in color)
ISBN:9783031097454
ISSN:2296-5017
DOI:10.1007/978-3-031-09745-4