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Compressed Sensing in Information Processing

Edited by Gitta Kutyniok, Edited by Holger Rauhut, Edited by Robert J. Kunsch

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This contributed volume showcases the most significant results obtained from the DFG Priority Program on Compressed Sensing in Information Processing.Â 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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