By Jørn Justesen and Tom Høholdt

ISBN-10: 3037190019

ISBN-13: 9783037190012

This e-book is written as a textual content for a path aimed toward complicated undergraduates. just some familiarity with straightforward linear algebra and chance is without delay assumed, yet a few adulthood is needed. the scholars could focus on discrete arithmetic, computing device technology, or verbal exchange engineering. The ebook is usually an appropriate creation to coding concept for researchers from comparable fields or for execs who are looking to complement their theoretical foundation. It provides the coding fundamentals for engaged on initiatives in any of the above components, yet fabric particular to at least one of those fields has now not been incorporated. Chapters hide the codes and deciphering equipment which are at present of so much curiosity in examine, improvement, and alertness. they offer a comparatively short presentation of the basic effects, emphasizing the interrelations among diverse equipment and proofs of all vital effects. a series of difficulties on the finish of every bankruptcy serves to study the consequences and provides the coed an appreciation of the recommendations. moreover, a few difficulties and proposals for tasks point out course for extra paintings. The presentation encourages using programming instruments for learning codes, imposing deciphering tools, and simulating functionality. particular examples of programming workout are supplied at the book's domestic web page. dispensed in the Americas via the yankee Mathematical Society.

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Extra resources for A Course in Error-Correcting Codes (EMS Textbooks in Mathematics)

Example text

The discussion is based on results from information theory, which provides ways of measuring the amounts of information that can be transferred through channels with given properties. 1 Discrete messages and entropy To discuss how information is transmitted through a channel that introduces errors we need at least a simple model of the messages we want to transmit. We assume that the sender has an unlimited amount of data that he, or she, wants to send to a receiver. The data is divided into messages, which we usually assume to be strings of independent binary symbols.

2 indicates that the weight enumerator contains the information required to find the error probability. However, finding the weight enumerator usually requires extensive computations. 6) in powers of p and only include a few terms. 1. Error probability of the (16, 11, 4) extended Hamming code. The code can correct one error. Two errors are detected, but not corrected. 4) as Pfail = 1 − (1 − p)16 − 16 p(1 − p)15 = 120 p2 + · · · If p is not very large, decoding errors occur mostly as a result of three errors.

The theorem does not give a method to find a primitive element; usually one has to use trial and error. 3. 3 is a primitive element of F17 . Since the possible orders of a nonzero element of F17 are 1, 2, 4, 8 and 16 but 32 = 9, 34 = 13 and 38 = 16 we see that 3 must have order 16. 2 The finite field F2m In the following we will consider some of the properties of polynomials with coefficients in a field and present the construction of a finite field with 2m elements. e. expressions of the form an x n + · · · + a1 x + a0 where ai ∈ F.

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A Course in Error-Correcting Codes (EMS Textbooks in Mathematics) by Jørn Justesen and Tom Høholdt


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