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Compressed Sensing for Privacy-Preserving Data Processing

The objective of this book is to provide the reader with a comprehensive survey of the topic compressed sensing in information retrieval and signal detection with privacy preserving functionality without compromising the performance of the embedding in terms of accuracy or computational efficiency....

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Bibliographic Details
Main Authors: Testa, Matteo (Author), Valsesia, Diego (Author), Bianchi, Tiziano (Author), Magli, Enrico (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:SpringerBriefs in Signal Processing,
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