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Information and communication theory /

Host, Stefan.

Information and communication theory /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Information and communication theory // Stefan Host.
作者:	Host, Stefan.
出版者:	Hoboken, NJ :Wiley ; : c2019.,
面頁冊數:	x, 350 p. :ill. ; : 24 cm.;
標題:	Information theory. -
ISBN:	9781119433781 :

Information and communication theory /
Host, Stefan.

Information and communication theory /Stefan Host. - Hoboken, NJ :Wiley ;c2019. - x, 350 p. :ill. ;24 cm. - IEEE series on digital & mobile communication. - IEEE series on mobile & digital communication..

Includes bibliographical references (p. 343-346) and index.

An important text that offers an in-depth guide to how information theory sets the boundaries for data communication In an accessible and practical style, Information and Communication Theory explores the topic of information theory and includes concrete tools that are appropriate for real-life communication systems. The text investigates the connection between theoretical and practical applications through a wide-variety of topics including an introduction to the basics of probability theory, information, (lossless) source coding, typical sequences as a central concept, channel coding, continuous random variables, Gaussian channels, discrete input continuous channels, and a brief look at rate distortion theory. The author explains the fundamental theory together with typical compression algorithms and how they are used in reality. He moves on to review source coding and how much a source can be compressed, and also explains algorithms such as the LZ family with applications to e.g. zip or png. In addition to exploring the channel coding theorem, the book includes illustrative examples of codes. This comprehensive text: -Provides an adaptive version of Huffman coding that estimates source distribution -Contains a series of problems that enhance an understanding of information presented in the text -Covers a variety of topics including optimal source coding, channel coding, modulation and much more -Includes appendices that explore probability distributions and the sampling theorem Written for graduate and undergraduate students studying information theory, as well as professional engineers, master's students, Information and Communication Theory offers an introduction to how information theory sets the boundaries for data communication.

ISBN: 9781119433781 :NT3817Subjects--Topical Terms:

595305
Information theory.

LC Class. No.: Q360 / .H67 2019

Dewey Class. No.: 003.54

Information and communication theory /
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490 1 $a IEEE series on digital & mobile communication
504 $a Includes bibliographical references (p. 343-346) and index.
520 # $a An important text that offers an in-depth guide to how information theory sets the boundaries for data communication In an accessible and practical style, Information and Communication Theory explores the topic of information theory and includes concrete tools that are appropriate for real-life communication systems. The text investigates the connection between theoretical and practical applications through a wide-variety of topics including an introduction to the basics of probability theory, information, (lossless) source coding, typical sequences as a central concept, channel coding, continuous random variables, Gaussian channels, discrete input continuous channels, and a brief look at rate distortion theory. The author explains the fundamental theory together with typical compression algorithms and how they are used in reality. He moves on to review source coding and how much a source can be compressed, and also explains algorithms such as the LZ family with applications to e.g. zip or png. In addition to exploring the channel coding theorem, the book includes illustrative examples of codes. This comprehensive text: -Provides an adaptive version of Huffman coding that estimates source distribution -Contains a series of problems that enhance an understanding of information presented in the text -Covers a variety of topics including optimal source coding, channel coding, modulation and much more -Includes appendices that explore probability distributions and the sampling theorem Written for graduate and undergraduate students studying information theory, as well as professional engineers, master's students, Information and Communication Theory offers an introduction to how information theory sets the boundaries for data communication.
650 # 0 $a Information theory. $3 595305
830 0 $a IEEE series on mobile & digital communication. $3 771681