Introduction to Information Theory and Coding:
Probability, Entropy, Channels, and Error Detection and Correction Codes
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This book is as follows: - Understanding the extent to which uncertainty is affected if the possibilities of feasible options are known and how important they are and how they relate to the concept of entropy. How information and uncertainty are linked and why entropy plays an important role in measuring information and previous information. This concept is developed to encrypt and accurately send this information even if there is noise by formalizing the transmission of the concept of "channel" and knowledge of the two basic concepts governing the transmissions. - After completing the basic k...
This book is as follows: - Understanding the extent to which uncertainty is affected if the possibilities of feasible options are known and how important they are and how they relate to the concept of entropy. How information and uncertainty are linked and why entropy plays an important role in measuring information and previous information. This concept is developed to encrypt and accurately send this information even if there is noise by formalizing the transmission of the concept of "channel" and knowledge of the two basic concepts governing the transmissions. - After completing the basic knowledge of the information and how to encrypt it in the ways discussed in this book, we discussed the process of sending information and know the basic limit of the transmission error and what conditions must be followed by the code in order to pressure effectively. What is the minimum distance of the code and the number of errors that can be corrected by the specified minimum distance code; the basics of linear symbols: how to construct such symbols, how to encrypt and decrypt them with a linear code.
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