It takes the average reader 5 hours and 34 minutes to read Entropy and Information Theory by Robert M. Gray
Assuming a reading speed of 250 words per minute. Learn more
This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The eventual goal is a general development of Shannon's mathematical theory of communication, but much of the space is devoted to the tools and methods required to prove the Shannon coding theorems. These tools form an area common to ergodic theory and information theory and comprise several quantitative notions of the information in random variables, random processes, and dynamical systems. Examples are entropy, mutual information, conditional entropy, conditional information, and discrimination or relative entropy, along with the limiting normalized versions of these quantities such as entropy rate and information rate. Much of the book is concerned with their properties, especially the long term asymptotic behavior of sample information and expected information. This is the only up-to-date treatment of traditional information theory emphasizing ergodic theory.
Entropy and Information Theory by Robert M. Gray is 332 pages long, and a total of 83,664 words.
This makes it 112% the length of the average book. It also has 102% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 37 minutes to read Entropy and Information Theory aloud.
Entropy and Information Theory is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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