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Compressive Sensing Based Algorithms for Electronic Defence, Mishra Amit Kumar, Verster Ryno Strauss


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Автор: Mishra Amit Kumar, Verster Ryno Strauss
Название:  Compressive Sensing Based Algorithms for Electronic Defence
ISBN: 9783319835655
Издательство: Springer
Классификация:



ISBN-10: 3319835653
Обложка/Формат: Paperback
Страницы: 184
Вес: 0.28 кг.
Дата издания: 07.07.2018
Серия: Signals and communication technology
Язык: English
Издание: Softcover reprint of
Иллюстрации: 59 illustrations, color; 47 illustrations, black and white; x, 184 p. 106 illus., 59 illus. in color.
Размер: 23.39 x 15.60 x 1.07 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book details some of the major developments in the implementation of compressive sensing in radio applications for electronic defense and warfare communication use.


Compressive sensing for wireless communication

Автор: Sankararajan, Radha Rajendran, Hemalatha Sukumaran, Aasha Nandhini
Название: Compressive sensing for wireless communication
ISBN: 8793379854 ISBN-13(EAN): 9788793379855
Издательство: Taylor&Francis
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Цена: 12554.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Compressed Sensing (CS) is a promising method that recovers the sparse and compressible signals from severely under-sampled measurements. CS can be applied to wireless communication to enhance its capabilities. As this technology is proliferating, it is possible to explore its need and benefits for emerging applications

Compressive Sensing for Wireless Communication provides:

  • A clear insight into the basics of compressed sensing
  • A thorough exploration of applying CS to audio, image and computer vision
  • Different dimensions of applying CS in Cognitive radio networks
  • CS in wireless sensor network for spatial compression and projection
  • Real world problems/projects that can be implemented and tested
  • Efficient methods to sample and reconstruct the images in resource constrained WMSN environment


This book provides the details of CS and its associated applications in a thorough manner. It lays a direction for students and new engineers and prepares them for developing new tasks within the field of CS. It is an indispensable companion for practicing engineers who wish to learn about the emerging areas of interest.

Multibiometric Watermarking with Compressive Sensing Theory

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.

Compressive Imaging: Structure, Sampling, Learning

Автор: Ben Adcock , Anders C. Hansen
Название: Compressive Imaging: Structure, Sampling, Learning
ISBN: 110842161X ISBN-13(EAN): 9781108421614
Издательство: Cambridge Academ
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Цена: 10454.00 р.
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Описание: This book provides a practical introduction to compressive imaging (with examples and code), an overview of core topics, and a comprehensive, rigorous treatment of the subject. It caters to graduate students, postdocs and faculty in mathematics, computer science, physics and engineering who want to learn about modern imaging techniques.

Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT

Автор: Yushu Zhang; Yong Xiang; Leo Yu Zhang
Название: Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT
ISBN: 9811325227 ISBN-13(EAN): 9789811325229
Издательство: Springer
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Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book gives a comprehensive and systematic review of secure compressive sensing (CS) for applications in various fields such as image processing, pattern recognition, Internet of things (IoT), and cloud computing. It will help readers grasp the knowledge of secure CS and its applications, and stimulate more readers to work on the research and development of secure CS. It discusses how CS becomes a cryptosystem, followed by the corresponding designs and analyses. The application of CS in multimedia data encryption is presented, in which the general design framework is given together with several particular frameworks including parallel CS, involvement of image processing techniques, and double protection mechanism. It also describes the applications of CS in cloud computing security and IoT security, i.e., privacy-preserving reconstruction in cloud computing and secure low-cost sampling in IoT, respectively.

A Mathematical Introduction to 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.

Compressive Sensing Based Algorithms for Electronic Defence

Автор: Amit Kumar Mishra; Ryno Strauss Verster
Название: Compressive Sensing Based Algorithms for Electronic Defence
ISBN: 3319466984 ISBN-13(EAN): 9783319466989
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book details some of the major developments in the implementation of compressive sensing in radio applications for electronic defense and warfare communication use.

Multibiometric Watermarking with Compressive Sensing Theory

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.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.


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