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Compressed Sensing in Information Processing

丛 书 名:Applied and Numerical Harmonic Analysis

版本说明:1

作     者:Gitta Kutyniok Holger Rauhut Robert J. Kunsch 

I S B N:(纸本) 9783031097447;9783031097478 

出 版 社:Birkhäuser Cham 

出 版 年:1000年

页      数:XVII, 542页

主 题 词:Abstract Harmonic Analysis Computational Mathematics and Numerical Analysis Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics 

摘      要: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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