Stefan H?st Information and Communication Theory 9781119433781

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Автор: Stefan H?st
Название: Information and Communication Theory
ISBN: 9781119433781
Издательство: Wiley
Классификация:

Техника связи / дальней связи

ISBN-10: 1119433789
Обложка/Формат: Hardback
Страницы: 368
Вес: 0.72 кг.
Дата издания: 21.05.2019
Серия: Ieee series on digital & mobile communication
Язык: English
Размер: 234 x 161 x 22
Читательская аудитория: Professional & vocational
Ключевые слова: Electronics & communications engineering
Основная тема: Electronics & communications engineering
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: 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 distributionContains a series of problems that enhance an understanding of information presented in the textCovers a variety of topics including optimal source coding, channel coding, modulation and much moreIncludes appendices that explore probability distributions and the sampling theorem Written for graduate and undergraduate students studying information theory, as well as professional engineers, masters students, Information and Communication Theory offers an introduction to how information theory sets the boundaries for data communication.

Information and Communication Theory, Stefan H?st