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

Steven Roman (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

0140284559 978-0387947044 November 26, 1996 1
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

  • Hardcover: 332 pages
  • Publisher: Springer; 1 edition (November 26, 1996)
  • Language: English
  • ISBN-10: 0140284559
  • ISBN-13: 978-0387947044
  • ASIN: 0387947043
  • Product Dimensions: 9.9 x 7.3 x 1.1 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #370,362 in Books (See Top 100 in Books)

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6 of 7 people found the following review helpful:
5.0 out of 5 stars Concise and well explained, June 18, 2001
By 
Jose Galaviz Casas (UNAM, Mexico, D.F. Mexico) - See all my reviews
(REAL NAME)   
This review is from: Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics) (Hardcover)
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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Inside This Book (learn more)
First Sentence:
In this book, we discuss two distinct aspects of the problem of transmitting data (called source data) from one location to another or, what amounts to the same thing, storing data and then retrieving the data at a later time. Read the first page
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Definition Let, Noiseless Coding Theorem, Kraft's Theorem, Prove Theorem, Proof Let, Proof Suppose, Selected Odd-Numbered Exercises Section, Compare the Singleton, Marcel Golay, Prove Lemma, Assuming the Reed-Muller, Determine the Gilbert-Varshamov, Principle of Inclusion-Exclusion
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