Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT, Yushu Zhang; Yong Xiang; Leo Yu Zhang

Автор: Foucart Simon
Название: Mathematical Introduction to Compressive Sensing
ISBN: 0817649476 ISBN-13(EAN): 9780817649470
Издательство: Springer
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Цена: 9781.00 р.
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Описание: At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.

Автор: Simon Foucart; Holger Rauhut
Название: A Mathematical Introduction to Compressive Sensing
ISBN: 1493900633 ISBN-13(EAN): 9781493900633
Издательство: Springer
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Цена: 9781.00 р.
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Описание: At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.

Автор: Thanki
Название: Multibiometric Watermarking with Compressive Sensing Theory
ISBN: 3319731823 ISBN-13(EAN): 9783319731827
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents multibiometric watermarking techniques for security of biometric data. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system.

Автор: Rohit M. Thanki; Vedvyas J. Dwivedi; Komal R. Bori
Название: Multibiometric Watermarking with Compressive Sensing Theory
ISBN: 3319892398 ISBN-13(EAN): 9783319892399
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This book presents multibiometric watermarking techniques for security of biometric data. This book also covers transform domain multibiometric watermarking techniques and their advantages and limitations. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system. The authors show how these techniques offer higher robustness, authenticity, better imperceptibility, increased payload capacity, and secure biometric watermarks. They show how to use the CS theory for the security of biometric watermarks before embedding into the host biometric data. The suggested methods may find potential applications in the security of biometric data at various banking applications, access control of laboratories, nuclear power stations, military base, and airports.

Автор: Venkataramani
Название: Smart Secure Systems – IoT and Analytics Perspective
ISBN: 9811076340 ISBN-13(EAN): 9789811076343
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This volume constitutes the refereed proceedings of the Second International Conference on Intelligent Information Technologies, ICIIT 2017, held in Chennai, India, in December 2017. The 20 full papers and 7 short papers presented were carefully reviewed and selected from 117 submissions.