Elements of Information Theory Second Edition covers the standard topics of information
theory such as entropy data compression channel capacity rate distortion multi-user theory
and hypothesis testing. It presents applications to communications statistics complexity
theory and investment. Chapters 1-9 cover the asymptotic equipartition property data
compression and channel capacity culminating in the capacity of the Gaussian channel. Chapters
10-17 include rate distortion the method of types Kolmogorov complexity network information
theory universal source coding and portfolio theory.The first edition of this book is the
most successful book on information theory on the market today. Adoptions have remained strong
since the book's publication in 1991.
