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Information Theory - Coding Theorems for Discrete Memoryless Systems, Second Edition

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Discrete memoryless channel

Unlocking potential with the best learning and research solutions. Home Academic Mathematics Discrete mathematics, information theory and coding Discrete mathematics, information theory and coding. Results Refine results Refine results Clear all.

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Format Paperback Hardback eBook Rating 5 stars. Show me Discounted titles 10 Unavailable titles 58 Textbooks 15 Reference 6 Titles with inspection copies 15 New and forthcoming 2. Subscribe now Subscribe to Cambridge Alerts Receive email alerts on new books, offers and news in Discrete mathematics, information theory and coding. Found Results Page 2 of 12 1 2 3 4 5 6 Look Inside. Catalan Numbers Stanley, Richard P.

Information theory - Wikipedia

Wilson, Robin J. Published: May Published: May Published: April Browse by related subject.

For information resit arrangements, please see the re-sit page on the intranet. Please use these links for further information on relative weighting and marking criteria.

Further exam information can be found on the Maths Intranet. Current undergraduates Current postgraduates Staff intranet. Information Theory Unit aims To give a rigorous and modern introduction into Shannon's theory of information, with emphasis on fundamental concepts and mathematical techniques.

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Unit description Shannon's information theory underlies many aspects of modern life, including streaming an MP3 or movie, or taking and storing digital photos. Learning objectives This unit should enable students to: Understand how information problems are modeled and solved Model and solve problems of information theory: data compression and channel coding Discuss basic concepts such as entropy, mutual information, relative entropy, capacity Use information theoretical methods to tackle problems arising in a number of settings. Transferable skills Mathematical - Knowledge of basic information theory; probabilistic reasoning.

Syllabus Information sources and review of probability Introduction to entropy and related quantities Variable length coding and performance limits Lossy block data compression Noisy channels and Shannon's channel coding theorem. Co-requisites None. Methods of teaching Lectures. Exercises to be done by students, problem classes. Methods of assessment The pass mark for this unit is


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