Free PDF Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics)
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Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics)
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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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Product details
Series: Undergraduate Texts in Mathematics
Hardcover: 326 pages
Publisher: Springer; 1997 edition (November 26, 1996)
Language: English
ISBN-10: 0387947043
ISBN-13: 978-0387947044
Product Dimensions:
7 x 0.9 x 10 inches
Shipping Weight: 1.8 pounds (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
1 customer review
Amazon Best Sellers Rank:
#136,737 in Books (See Top 100 in Books)
I have used this book in my course of coding theory. In my experience it is enough clear for the students and cover the fundamental material with enough deep from introductory point of view. From this book the reader can continue the study of subject in a more theoretical fashion or in the more applied one. It is a good text book for a introductory course, and I have seen several other books. However I think the author spend so much time in chapter four. The book is well strutured for a one semester course.
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