Compressed Sensing in Information Processing

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Synopsis

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.

Book details

Edition:
1st ed. 2022
Series:
Applied and Numerical Harmonic Analysis
Author:
Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch
ISBN:
9783031097454
Related ISBNs:
9783031097447
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2023-02-04
Usage restrictions:
Copyright
Copyright date:
2022
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Mathematics and Statistics, Nonfiction, Technology