Compressed Sensing for Privacy-Preserving Data Processing

by Enrico Magli, Matteo Testa, Diego Valsesia, et al.

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. The reader is guided in exploring the topic by first establishing a shared knowledge about compressed sensing and how it is used nowadays. Then, clear...

• Format: Paperback
• Language: English
• ISBN: 9811322783
• ISBN13: 9789811322785
• Release Date: September 2018
• Publisher: Springer
• Length: 91 Pages
• Weight: 0.33 lbs.
• Dimensions: 0.2" x 6.1" x 9.2"