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By Elwyn R Berlekamp

ISBN-10: 9814635898

ISBN-13: 9789814635899

This can be the revised version of Berlekamp's well-known publication, "Algebraic Coding Theory", initially released in 1968, in which he brought a number of algorithms that have hence ruled engineering perform during this box. this sort of is an set of rules for deciphering Reed-Solomon and Bose–Chaudhuri–Hocquenghem codes that for that reason grew to become referred to as the Berlekamp–Massey set of rules. one other is the Berlekamp set of rules for factoring polynomials over finite fields, whose later extensions and elaborations turned commonplace in symbolic manipulation platforms. different novel algorithms more desirable the elemental equipment for doing a number of mathematics operations in finite fields of attribute . different significant examine contributions during this ebook incorporated a brand new type of Lee metric codes, and certain asymptotic effects at the variety of details symbols in lengthy binary BCH codes.

chosen chapters of the booklet grew to become a regular graduate textbook.

either practising engineers and students will locate this e-book to be of serious value.

Readership: Researchers in coding concept and cryptography, algebra and quantity concept, and software program engineering.

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Extra resources for Algebraic Coding Theory

Example text

The first five parity checks then give the sum of the error location numbers; the second five parity checks give the sum of the cubes of the error location numbers. The decoding procedure consists of three major steps: (1) compute the parity checks, obtaining S1 and Sa; (2) compute the error polynomial u(z); (3) find the reciprocals of the roots of u(z) and change the corresponding positions of the received word. For the first major step of the decoding procedure, we might imagine 10 separate sets of mod 2 adders, each having as inputs a certain subset of the 31 received digits.

01. The AND and OR gates may have several inputs, each of which carries a binary signal having either the value 0 or the value 1. The output of the AND gate is zero unless all its inputs are ones, in which case the output of the AND gate is also one. The output of the OR gate is one unless all of its inputs are zero, in which case the output of the OR gate is also zero. The inverter, in contrast to the AND and OR gates, has only one input, and its output is the opposite of its input. If its input signal has value 0, the output has value 1; if the input signal has value 1, the output has value 0.

We are usually more interested in codes which have a higher information rate. Extreme examples of such high-rate codes are the single-parity-check codes, which contain only one check digit. This check digit is taken to be the mod 2 sum of the code's n - 1 information digits. These information digits are added according to the binary rules: 0 + 0 = 0, 0 + 1 = 1, 1 + 0 = 1, 1 + 1 = 0. The binary sum of a number of binary digits is seen to be 0 or 1, accordingly as the number of ones among these digits is even or odd.

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Algebraic Coding Theory by Elwyn R Berlekamp


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