Compressed Sensing in Information Processing Paperback / softback
Edited by Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch
Part of the Applied and Numerical Harmonic Analysis series
Paperback / softback
Description
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.
Information
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Out of stock
- Format:Paperback / softback
- Pages:542 pages, 90 Illustrations, color; 26 Illustrations, black and white; XVII, 542 p. 116 illus., 90 i
- Publisher:Birkhauser Verlag AG
- Publication Date:22/10/2023
- Category:
- ISBN:9783031097478
Information
-
Out of stock
- Format:Paperback / softback
- Pages:542 pages, 90 Illustrations, color; 26 Illustrations, black and white; XVII, 542 p. 116 illus., 90 i
- Publisher:Birkhauser Verlag AG
- Publication Date:22/10/2023
- Category:
- ISBN:9783031097478