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Introduction to Coding and Information Theory

Introduction to Coding and Information Theory

Steven Roman

105,64 €
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Editorial:
Springer Nature B.V.
Año de edición:
1996
Materia
Ciencia: cuestiones generales
ISBN:
9780387947044

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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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