An Introduction to Single-User Information Theory

Po-Ning Chen

ISBN 10: 9811340382 / ISBN 13: 9789811340383

Published by Springer Nature Singapore, Springer Nature Singapore, 2018

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon's information theory, discussing the fundamental concepts and indispensable results of Shannon's 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 instructor's solutions manual is available.

Seller Inventory # 9789811340383

Bibliographic Details

• Title: An Introduction to Single-User Information Theory
• Publisher: Springer Nature Singapore, Springer Nature Singapore
• Publication Date: 2018
• Language: English
• ISBN 10: 9811340382
• ISBN 13: 9789811340383
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 19D millimeters 235 millimeters width by 155 millimeters height by 19 millimeters depth
• Weight: 522 grams

About this title

Synopsis

This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon’s information theory, discussing the fundamental concepts and indispensable results of Shannon’s 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 instructor’s solutions manual is available.

About the Author

Fady Alajaji is a professor of Mathematics and Engineering at the Department of Mathematics and Statistics, Queen’s University, Kingston, Ontario, Canada. He received a B.E. degree with distinction from the American University of Beirut, Lebanon in 1988, and M.Sc. and Ph.D. degrees from the University of Maryland at College Park, USA, in 1990 and 1994, respectively.

In 2001, he was a recipient of the Premier’s Research Excellence Award from the Province of Ontario in recognition for his research in “the theory and practice of joint source-channel coding in telecommunication systems.” His research interests include information theory, applied probability, joint source-channel coding, error control coding, data compression and digital communications.

 

Po-Ning Chen is a professor at the Department of Electrical and Computer Engineering, National Chiao Tung University (NCTU), Taiwan. He received B.E. and M.Sc. degrees from National Tsing Hua University, Taiwan, in 1985 and 1987, respectively, and his Ph.D. degree from the University of Maryland at College Park, USA, in 1994. He was a recipient of the 2000 Young Scholar Paper Award from the Academia Sinica, Taiwan.

He was also selected as the NCTU Outstanding Tutor Teacher in 2013 and 2014, and received the NCTU Distinguished Teaching Award in 2014. His research interests include information and coding theory, large deviations theory, distributed detection and sensor networks.