Compressed Sensing in Information Processing
Redigert av Gitta Kutyniok, Robert J. Kunsch, Holger Rauhut, 2022.Del av serien Applied and Numerical Harmonic Analysis.
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.
Språk: Engelsk
Compressed Sensing in Information Processing
Redigert av Gitta Kutyniok, Robert J. Kunsch, Holger Rauhut, 2022.Del av serien Applied and Numerical Harmonic Analysis.
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.
Språk: Engelsk
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