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Cognitive Wireless Networks Using the CSS Technology (Hardcover, 1st ed. 2016): Meiling Li, Anhong Wang, Jeng-Shyang Pan Cognitive Wireless Networks Using the CSS Technology (Hardcover, 1st ed. 2016)
Meiling Li, Anhong Wang, Jeng-Shyang Pan
R3,379 Discovery Miles 33 790 Ships in 12 - 17 working days

The aim of this book is to provide some useful methods to improve the spectrum sensing performance in a systematic way, and point out an effective method for the application of cognitive radio technology in wireless communications. The book gives a a state-of-the-art survey and proposes some new cooperative spectrum sensing (CSS) methods attempting to achieve better performance. For each CSS, the main idea and corresponding algorithm design are elaborated in detail. This book covers the fundamental concepts and the core technologies of CSS, especially its latest developments. Each chapter is presented in a self-sufficient and independent way so that the reader can select the chapters interesting to them. The methodologies are described in detail so that the readers can repeat the corresponding experiments easily. It will be a useful book for researchers helping them to understand the classifications of CSS, inspiring new ideas about the novel CSS technology for CR, and learning new ideas from the current status of CSS. For engineers, it will be a good guidebook to develop practical applications for CSS.

Distributed Multiple Description Coding - Principles, Algorithms and Systems (Hardcover, 2011): Huihui Bai, Anhong Wang, Yao... Distributed Multiple Description Coding - Principles, Algorithms and Systems (Hardcover, 2011)
Huihui Bai, Anhong Wang, Yao Zhao, Jeng-Shyang Pan, Ajith Abraham
R2,925 Discovery Miles 29 250 Ships in 10 - 15 working days

This book examines distributed video coding (DVC) and multiple description coding (MDC), two novel techniques designed to address the problems of conventional image and video compression coding. Covering all fundamental concepts and core technologies, the chapters can also be read as independent and self-sufficient, describing each methodology in sufficient detail to enable readers to repeat the corresponding experiments easily. Topics and features: provides a broad overview of DVC and MDC, from the basic principles to the latest research; covers sub-sampling based MDC, quantization based MDC, transform based MDC, and FEC based MDC; discusses Sleplian-Wolf coding based on Turbo and LDPC respectively, and comparing relative performance; includes original algorithms of MDC and DVC; presents the basic frameworks and experimental results, to help readers improve the efficiency of MDC and DVC; introduces the classical DVC system for mobile communications, providing the developmental environment in detail.

Cognitive Wireless Networks Using the CSS Technology (Paperback, Softcover reprint of the original 1st ed. 2016): Meiling Li,... Cognitive Wireless Networks Using the CSS Technology (Paperback, Softcover reprint of the original 1st ed. 2016)
Meiling Li, Anhong Wang, Jeng-Shyang Pan
R3,380 Discovery Miles 33 800 Ships in 10 - 15 working days

The aim of this book is to provide some useful methods to improve the spectrum sensing performance in a systematic way, and point out an effective method for the application of cognitive radio technology in wireless communications. The book gives a a state-of-the-art survey and proposes some new cooperative spectrum sensing (CSS) methods attempting to achieve better performance. For each CSS, the main idea and corresponding algorithm design are elaborated in detail. This book covers the fundamental concepts and the core technologies of CSS, especially its latest developments. Each chapter is presented in a self-sufficient and independent way so that the reader can select the chapters interesting to them. The methodologies are described in detail so that the readers can repeat the corresponding experiments easily. It will be a useful book for researchers helping them to understand the classifications of CSS, inspiring new ideas about the novel CSS technology for CR, and learning new ideas from the current status of CSS. For engineers, it will be a good guidebook to develop practical applications for CSS.

Distributed Multiple Description Coding - Principles, Algorithms and Systems (Paperback, 2011 ed.): Huihui Bai, Anhong Wang,... Distributed Multiple Description Coding - Principles, Algorithms and Systems (Paperback, 2011 ed.)
Huihui Bai, Anhong Wang, Yao Zhao, Jeng-Shyang Pan, Ajith Abraham
R2,927 Discovery Miles 29 270 Ships in 10 - 15 working days

The explosive growth of network, multimedia and wireless technology is fundamentally changing the way people communicate, fueling demand for reliable real-time transmission of image and video data.

This unique text/reference systematically examines the issues in distributed video coding (DVC) and multiple description coding (MDC), two novel techniques designed to address the problems of conventional image and video compression coding. The book begins with a state-of-the-art survey of the topic, before proposing new methods for improving the performance of image and video transmission using DVC and MDC. Covering all fundamental concepts and core technologies, the chapters can also be read as independent and self-sufficient, describing each methodology in sufficient detail to enable readers to repeat the corresponding experiments easily.

Topics and features: provides a broad overview of DVC and MDC, from the basic principles to the latest research; covers sub-sampling based MDC, quantization based MDC, transform based MDC, and FEC based MDC; discusses Sleplian-Wolf coding based on Turbo and LDPC respectively, and comparing relative performance; includes original algorithms of MDC and DVC; presents the basic frameworks and experimental results, to help readers improve the efficiency of MDC and DVC; introduces the classical DVC system for mobile communications, providing the developmental environment in detail.

Researchers and engineers will find this book a useful reference on DVC and MDC technologies, and a guide for developing practical applications for DVC and MDC systems. The text will also be of interest to graduate students in image processing and signal processing.

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