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Compressed Sensing in Information Processing : Mathematics and Statistics (R0) - Gitta Kutyniok

Compressed Sensing in Information Processing

By: Gitta Kutyniok (Editor), Holger Rauhut (Editor), Robert J. Kunsch (Editor)

eText | 20 October 2022

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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 MIMO; and security of future communication and compressive sensing.

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