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Information and Communication Theory, Hardcover by Host, Stefan, ISBN 1119433789, ISBN-13 9781119433781, Like New Used, Free P&P in the UK
<p><b>An important text that offers an in-depth guide to how information theory sets the boundaries for data communication</b></p> <p>In an accessible and practical style, <i>Information and Communication Theory </i>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.</p> <p>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 . zip or png. In addition to exploring the channel coding theorem, th includes illustrative examples of codes. This comprehensive text:</p> <ul> <li>Provides an adaptive version of Huffman coding that estimates source distribution</li> <li>Contains a series of problems that enhance an understanding of information presented in the text</li> <li>Covers a variety of topics including optimal source coding, channel coding, modulation and much more</li> <li>Includes appendices that explore probability distributions and the sampling theorem</li> </ul> <p>Written for graduate and undergraduate students studying information theory, as well as professional engineers, master’s students, <i>Information and Communication Theory </i>offers an introduction to how information theory sets the boundaries for data communication.</p>
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