Information-Spectrum Methods in Information Theory: Stochastic Modelling and Applied Probability, cartea 50

1 Source Coding.- 2 Random Number Generation.- 3 Channel Coding.- 4 Hypothesis Testing.- 5 Rate-Distortion Theory.- 6 Identification Code and Channel Resolvability.- 7 Multi-Terminal Information Theory.- References.

From the reviews:
MATHEMATICAL REVIEWS
"This book nicely complements the existing literature on information and coding theory by concentrating on arbitrary nonstationary and/or nonergodic sources and channels with arbitrarily large alphabets. Even with such generality the authors have managed to successfully reach a highly unconventional but very fertile exposition rendering new insights into many problems."
"This book proposes a generalization of information theory in the sense of Shannon to a situation with sources and channels being possibly nonstationary and/or nonergodic. … This book presents useful and important concepts in information theory arising from original ideas of the author … ." (A. Akutowicz, Zentralblatt MATH, Vol. 1010, 2003)
"This book nicely complements the existing literature on information and coding theory by concentrating on arbitrary nonstationary and/or nonergodic sources and channels with arbitrarily large alphabets. Even with such generality the authors have managed to successfully reach a highly unconventional but very fertile exposition rendering new insights into many problems. The book establishes a unified general treatment for a collection of results … . The book contains a considerable number of historical remarks together with a rather extensive list of references … ." (Andrei Kelarev, Mathematical Reviews, 2003 i)

Translation from the Japanese edition published in 1998 Awarded the Okawa Prize for Japanese Information Science books in 1998 Includes supplementary material: sn.pub/extras