By Elwyn R Berlekamp
This is often 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 thus ruled engineering perform during this box. this type of is an set of rules for deciphering Reed-Solomon and Bose–Chaudhuri–Hocquenghem codes that hence turned 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 gildings grew to become well-known in symbolic manipulation structures. different novel algorithms stronger the elemental tools for doing numerous mathematics operations in finite fields of attribute . different significant study contributions during this e-book integrated a brand new classification of Lee metric codes, and specified asymptotic effects at the variety of details symbols in lengthy binary BCH codes.
chosen chapters of the booklet grew to become a customary graduate textbook.
either practising engineers and students will locate this ebook to be of significant value.
Readership: Researchers in coding conception and cryptography, algebra and quantity conception, and software program engineering.
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Extra resources for Algebraic Coding Theory
However, if (a(x),b(x)) = 1, then, according to Euclid, we can find A(x) and B(x) so that M(x) a(x)A(x) + b(x)B(x) = 1 = Whence a(x)A(x) 1 mod b(x). Evidently division by a(x) is equivalent to multiplication by A(x). , it has no divisors other than scalars and scalar multiples of itself, then for every a(x) ¢ 0, we may divide by a(x) mod M(x). As we shall prove in Sec. 1, polynomials may be factored into products of irreducible polynomials in a unique way, just as integers may be uniquely factored into products of primes.
Every single-error pattern is a coset leader, and the code is capable of correcting all patterns of single errors. A linear binary code is capable of correcting all patterns of not more than one channel error iff all columns of its X matrix are distinct and nonzero. 31 To decode single errors, the decoder computes the syndrome of the received word. If the syndrome is zero, the decoder assumes that no errors occurred. If the syndrome is nonzero and equal to some column of the X matrix, then the decoder assumes that an error occurred in that position of the code.
The linear code defined by such a matrix is called a Hamming cocle. For every r, there exists a binary Hamming code containing r check digits. The block length of the code is n = 2r - 1, and the number of information digits is given by lc = n - r = 2r - 1 - r. The code is able to correct a single error in any digit. Furthermore, since every possible nonzero syndrome is equal to some column of the~ matrix, decoding failure never occurs. The single-error decoding procedure is complete. Every coset has a leader whose weight is either zero or one.