This book is about the definition of the Shannon measure of Information, and some derived quantities such as conditional Information and mutual information.
As wi.
Unlike many books, which refer to the Shannon\'s Measure of Information (SMI) as \'Entropy, \' this book makes a clear distinction between the SMI and Entropy.
In the last chapter, Entropy is derived as a special case of SMI.
Ample examples are provided which help the reader in understanding the different Concepts discussed in this book.
This book is about the definition of the Shannon measure of Information, and some derived quantities such as conditional Information and mutual information