Springer Information-Spectrum Methods in Information Theory: 50 (Stochastic Modelling and Applied Probability, 50)

From the 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." -- MATHEMATICAL REVIEWS Review 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)