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Titlebook: Distributed Multiple Description Coding; Principles, Algorith Huihui Bai,Anhong Wang,Ajith Abraham Book 2011 Springer-Verlag London Limited

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書目名稱Distributed Multiple Description Coding
副標(biāo)題Principles, Algorith
編輯Huihui Bai,Anhong Wang,Ajith Abraham
視頻videohttp://file.papertrans.cn/282/281927/281927.mp4
概述Presents a state-of-the-art survey of distributed video coding (DVC) and multiple description coding (MDC).Describes each approach in detail, so that readers can easily repeat the corresponding experi
圖書封面Titlebook: Distributed Multiple Description Coding; Principles, Algorith Huihui Bai,Anhong Wang,Ajith Abraham Book 2011 Springer-Verlag London Limited
描述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.
出版日期Book 2011
關(guān)鍵詞Distributed Video Coding; Image Compression; Multiple Description Coding; Video Compression
版次1
doihttps://doi.org/10.1007/978-1-4471-2248-7
isbn_softcover978-1-4471-6130-1
isbn_ebook978-1-4471-2248-7
copyrightSpringer-Verlag London Limited 2011
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An Algorithm to Find All Identical Motifs in Multiple Biological Sequencesleotide or protein sequences). Further, the proposed algorithm facilitates the analysis of comparative internal sequence repeats for the evolutionary studies which helps to derive the phylogenetic relationships from the distribution of repeats.
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