Download Introduction To Coding And Information Theory Undergraduate Texts In Mathematics for free

Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics)

Steven Roman

Format: Hardcover

Language: English

Pages: 326

Publisher: Springer; 1997 edition (November 26, 1996)

ISBN: 0387947043

Format: PDF / Kindle / ePub

Size: 6.7 MB

Downloadable formats: PDF


This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent chapters discuss information theory: efficiency of codes, the entropy of information sources, and Shannon's Noiseless Coding Theorem. The remaining three chapters deal with coding theory: communication channels, decoding in the presence of errors, the general theory of linear codes, and such specific codes as Hamming codes, the simplex codes, and many others.

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