This book is an updated version of the information theory classic, first published in 1990. About one-third of the book is devoted to Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and their properties.
New in this edition:
Expanded treatment of stationary or sliding-block codes and their relations to traditional block codes
Expanded discussion of results from ergodic theory relevant to information theory
Expanded treatment of B-processes -- processes formed by...
This book is an updated version of the information theory classic, first published in 1990. About one-third of the book is devoted to Shannon sourc...
Probability, Random Processes, and Ergodic Properties is for mathematically inclined information/communication theorists and people working in signal processing. It will also interest those working with random or stochastic processes, including mathematicians, statisticians, and economists.
Highlights:
Complete tour of book and guidelines for use given in Introduction, so readers can see at a glance the topics of interest.
Structures mathematics for an engineering audience, with emphasis on engineering applications.
New in the Second Edition:
Much of the material has been...
Probability, Random Processes, and Ergodic Properties is for mathematically inclined information/communication theorists and people working in sign...
