Description: Compressed Sensing in Information Processing, Hardcover by Kutyniok, Gitta (EDT); Rauhut, Holger (EDT); Kunsch, Robert J. (EDT), ISBN 3031097440, ISBN-13 9783031097447, Like New Used, Free shipping in the US 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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Book Title: Compressed Sensing in Information Processing
Number of Pages: Xvii, 542 Pages
Publication Name: Compressed Sensing in Information Processing
Language: English
Publisher: Springer International Publishing A&G
Subject: Engineering (General), Signals & Signal Processing, Numerical Analysis, Mathematical Analysis
Publication Year: 2022
Item Weight: 35.2 Oz
Type: Textbook
Subject Area: Mathematics, Technology & Engineering
Author: Holger Rauhut
Item Length: 9.3 in
Series: Applied and Numerical Harmonic Analysis Ser.
Item Width: 6.1 in
Format: Hardcover
