Inhoudsopgave:
|
This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannonâs information theory, discussing the fundamental concepts and indispensable results of Shannonâs mathematical theory of communications. It includes five meticulously written core chapters (with accompanying problems), emphasizing the key topics of information measures; lossless and lossy data compression; channel coding; and joint source-channel coding for single-user (point-to-point) communications systems. It also features two appendices covering necessary background material in real analysis and in probability theory and stochastic processes. The book is ideal for a one-semester foundational course on information theory for senior undergraduate and entry-level graduate students in mathematics, statistics, engineering, and computing and information sciences. A comprehensive instructorâs solutions manual is available. |
nl
en