Compressed Sensing in Information Processing |
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| Editor:
| Kutyniok, Gitta
Rauhut, Holger
Kunsch, Robert J. |
| Series title: | Applied and Numerical Harmonic Analysis Ser. |
| ISBN: | 978-3-031-09747-8 |
| Publication Date: | Oct 2023 |
| Publisher: | Springer International Publishing AG
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| Imprint: | Birkhäuser |
| Book Format: | Paperback |
| List Price: | USD $159.99 |
Book Description:
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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...
More DescriptionThis 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.