Distributed Source Coding: Theory and Practice
Shuang Wang
ISBN 10: 0470688998 ISBN 13: 9780470688991
Verlag: John Wiley & Sons Inc, 2017
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Beschreibung
Beschreibung:
Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. Num Pages: 384 pages. BIC Classification: GPF; TJK. Category: (P) Professional & Vocational. Dimension: 239 x 161 x 23. Weight in Grams: 608. . 2017. 1st Edition. Hardcover. . . . . Bestandsnummer des Verkäufers V9780470688991
Inhaltsangabe:
Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics.
The book is divided into three sections: theory, algorithms, and applications. Part one covers the background of information theory with an emphasis on DSC; part two discusses designs of algorithmic solutions for DSC problems, covering the three most important DSC problems: Slepian-Wolf, Wyner-Ziv, and MT source coding; and part three is dedicated to a variety of potential DSC applications.
Key features:
- Clear explanation of distributed source coding theory and algorithms including both lossless and lossy designs.
- Rich applications of distributed source coding, which covers multimedia communication and data security applications.
- Self-contained content for beginners from basic information theory to practical code implementation.
The book provides fundamental knowledge for engineers and computer scientists to access the topic of distributed source coding. It is also suitable for senior undergraduate and first year graduate students in electrical engineering; computer engineering; signal processing; image/video processing; and information theory and communications.
Über die Autorin bzw. den Autor:
SHUANG WANG, University of California, San Diego, USA
YONG FANG, Northwest A&F University, China
SAMUEL CHENG, University of Oklahoma, USA
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Bibliografische Details
Titel: Distributed Source Coding: Theory and ...
Verlag: John Wiley & Sons Inc
Erscheinungsdatum: 2017
Einband: Hardcover
Zustand: New
Auflage: 1. Auflage
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Distributed Source Coding (Hardcover)
Verlag:
John Wiley & Sons Inc, New York, 2017
ISBN 10: 0470688998
ISBN 13: 9780470688991
Neu
Hardcover
Erstausgabe
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Hardcover. Zustand: new. Hardcover. Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. The book is divided into three sections: theory, algorithms, and applications. Part one covers the background of information theory with an emphasis on DSC; part two discusses designs of algorithmic solutions for DSC problems, covering the three most important DSC problems: Slepian-Wolf, Wyner-Ziv, and MT source coding; and part three is dedicated to a variety of potential DSC applications. Key features: Clear explanation of distributed source coding theory and algorithms including both lossless and lossy designs.Rich applications of distributed source coding, which covers multimedia communication and data security applications.Self-contained content for beginners from basic information theory to practical code implementation. The book provides fundamental knowledge for engineers and computer scientists to access the topic of distributed source coding. It is also suitable for senior undergraduate and first year graduate students in electrical engineering; computer engineering; signal processing; image/video processing; and information theory and communications. Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9780470688991
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Distributed Source Coding (Hardcover)
Verlag:
John Wiley & Sons Inc, New York, 2017
ISBN 10: 0470688998
ISBN 13: 9780470688991
Neu
Hardcover
Erstausgabe
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Hardcover. Zustand: new. Hardcover. Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. The book is divided into three sections: theory, algorithms, and applications. Part one covers the background of information theory with an emphasis on DSC; part two discusses designs of algorithmic solutions for DSC problems, covering the three most important DSC problems: Slepian-Wolf, Wyner-Ziv, and MT source coding; and part three is dedicated to a variety of potential DSC applications. Key features: Clear explanation of distributed source coding theory and algorithms including both lossless and lossy designs.Rich applications of distributed source coding, which covers multimedia communication and data security applications.Self-contained content for beginners from basic information theory to practical code implementation. The book provides fundamental knowledge for engineers and computer scientists to access the topic of distributed source coding. It is also suitable for senior undergraduate and first year graduate students in electrical engineering; computer engineering; signal processing; image/video processing; and information theory and communications. Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9780470688991
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Distributed Source Coding (Hardcover)
Verlag:
John Wiley & Sons Inc, New York, 2017
ISBN 10: 0470688998
ISBN 13: 9780470688991
Neu
Hardcover
Erstausgabe
Anbieter: AussieBookSeller, Truganina, VIC, Australien
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Hardcover. Zustand: new. Hardcover. Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. The book is divided into three sections: theory, algorithms, and applications. Part one covers the background of information theory with an emphasis on DSC; part two discusses designs of algorithmic solutions for DSC problems, covering the three most important DSC problems: Slepian-Wolf, Wyner-Ziv, and MT source coding; and part three is dedicated to a variety of potential DSC applications. Key features: Clear explanation of distributed source coding theory and algorithms including both lossless and lossy designs.Rich applications of distributed source coding, which covers multimedia communication and data security applications.Self-contained content for beginners from basic information theory to practical code implementation. The book provides fundamental knowledge for engineers and computer scientists to access the topic of distributed source coding. It is also suitable for senior undergraduate and first year graduate students in electrical engineering; computer engineering; signal processing; image/video processing; and information theory and communications. Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9780470688991
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