An Introduction to Single-User Information Theory (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
323
Utgivningsdatum
2018-05-07
Upplaga
1st ed. 2018
Förlag
Springer Verlag, Singapore
Medarbetare
Chen, Po-Ning
Illustrationer
30 Illustrations, black and white; XVII, 323 p. 30 illus.
Dimensioner
234 x 156 x 21 mm
Vikt
658 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9789811080005

An Introduction to Single-User Information Theory

Inbunden,  Engelska, 2018-05-07
605
  • Skickas från oss inom 5-8 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Visa alla 2 format & utgåvor
This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannons information theory, discussing the fundamental concepts and indispensable results of Shannons 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 instructors solutions manual is available.
Visa hela texten

Passar bra ihop

  1. An Introduction to Single-User Information Theory
  2. +
  3. The Anxious Generation

De som köpt den här boken har ofta också köpt The Anxious Generation av Jonathan Haidt (inbunden).

Köp båda 2 för 894 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

Övrig information

Fady Alajaji is a professor of Mathematics and Engineering at the Department of Mathematics and Statistics, Queens 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 Premiers 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.

Innehållsförteckning

Introduction.- Information Measures for Discrete Systems.- Lossless Data Compression.- Data Transmission and Channel Capacity.- Dierential Entropy and Gaussian Channels.- Lossy Data Compression and Transmission.