A note on generalized Hamming weights of BCH(2)

Determines results for the first six generalized Hamming weights of double-error-correcting primitive binary BCH codes     

关于Goppa码、BCH码的广义Hamming重量

本文研究了Goppa码、BCH码的广义Hamming重量,给出了Goppa码的广义Hamming重量的一个下界以及求该下界的一个算法;对于本原、狭义BCH码,给出了后面一些广义Hamming重量的确切值。     

关于BCH码的广义Hamming重量上,下限

一个线性码的第ｒ广义Ｈａｍｍｉｎｇ重量是它任意ｒ维子码的最小支集大小。本文给出了一般（本原、狭义）ＢＣＨ码的广义Ｈａｍｍｉｎｇ重量下限和一类ＢＣＨ码的广义Ｈａｍｍｉｎｇ重量上限     

广义Hamming重量上,下界的对偶定理

本文给出了一种广义Ｈａｍｍｉｎｇ重量上、下界的对偶定理。即若给定一个码的对偶码的广义Ｈａｍｍｉｎｇ重量上界（或者下界），可以给出该码的广义Ｈａｍｍｉｎｇ重量上界（或者下界）。Ｈ．Ｓｔｉｃｈ－ｎｏｔｈ（１９９４）曾给出了迹码（如ＢＣＨ码和Ｇｏｐｐａ码的对偶码）的广义Ｈａｍｍｉｎｇ重量一种上、下界，如果采用本文结果就可以给出迹码的对偶码的广义Ｈａｍｍｉｎｇ重量一种上、下界。因此，本文的结果是Ｈ．Ｓｔｉｃｈｎｏｔｈ的结果的有益补充     

On the second generalized Hamming weight of the dual code of adouble-error-correcting binary BCH code

The generalized Hamming weight of a linear code is a new notion of higher dimensional Hamming weights. Let C be an [n,k] linear code and D be a subcode. The support of D is the cardinality of the set of not-always-zero bit positions of D. The rth generalized Hamming weight of C, denoted by d_r(C), is defined as the minimum support of an r-dimensional subcode of C. It was shown by Wei (1991) that the generalized Hamming weight hierarchy of a linear code completely characterizes the performance of the code on the type II wire-tap channel defined by Ozarow and Wyner (1984). In the present paper the second generalized Hamming weight of the dual code of a double-error-correcting BCH code is derived and the authors prove that except for m=4, the second generalized Hamming weight of [2^m-1, 2m]-dual BCH codes achieves the Griesmer bound     

On the minimum distance of certain reversible cyclic codes (Corresp.)

The minimum distance of a class of reversible cyclic codes has been proved to be greater than that given by the BCH bound. It is also noted that this class of codes includes the class of primitive double-error-correcting binary codes of Melas as well as the class of nonprimitive double-error-correcting binary codes discovered by Zetterberg as special cases.     

An approximation to the weight distribution of binary linear codes

Binary primitive BCH codes form a large class of powerful error-correcting codes. The weight distributions of primitive BCH codes are unknown except for some special classes, such as the single, double, triple error-correcting codes and some very low-rate primitive BCH codes. However, asymptotic results for the weight distribution of a large subclass of primitive BCH codes have been derived by Sidel'nikov. These results provide some insight into the weight structure of primitive BCH codes. Sidel'nikov's approach is improved and applied to the weight distribution of any binary linear block code. Then Sidel'nikov's results on the weight distributions of binary primitive BCH codes are improved and it is shown that the weights of a binary primitive code have approximate binomial distribution.     

Undetected error probabilities of binary primitive BCH codes forboth error correction and detection

We investigate the undetected error probabilities for bounded-distance decoding of binary primitive BCH codes when they are used for both error correction and detection on a binary symmetric channel. We show that the undetected error probability of binary linear codes can be simplified and quantified if the weight distribution of the code is binomial-like. We obtain bounds on the undetected error probability of binary primitive BCH codes by applying the result to the code and show that the bounds are quantified by the deviation factor of the true weight distribution from the binomial-like weight distribution     

Estimating the fraction of erasure patterns correctable by linear codes

The conditional probability (fraction) of the successful decoding of erasure patterns of high (greater than the code distance) weights is investigated for linear codes with the partially known or unknown weight spectra of code words. The estimated conditional probabilities and the methods used to calculate them refer to arbitrary binary linear codes and binary Hamming, Panchenko, and Bose–Chaudhuri–Hocquenghem (BCH) codes, including their extended and shortened forms. Error detection probabilities are estimated under erasure-correction conditions. The product-code decoding algorithms involving the correction of high weight erasures by means of component Hamming, Panchenko, and BCH codes are proposed, and the upper estimate of decoding failure probability is presented.     

视频字符叠加器

文章介绍了实现在电视信号上叠加字符的方法，并具体给出了一个实际用于水井电视检修的视频字符叠加器的软硬件。     

Permutation decoding of certain triple-error-correcting binary codes (Corresp.)

In a recent note [1] an analysis of certain binary double-error-correcting cyclic codes was made from the point of view of permutation decodability. Specifically, upper bounds on the rates of these codes were established so that the codes would be permutation decodable. The object of the present correspondence is to give corresponding results for binary triple-error-correcting cyclic codes of certain lengths.     

二进制BCH码的一种盲识别方法

提出二进制BCH码的一种盲识别方法。该算法适用于本原和非本原二进制BCH码。首先,在帧长度已知的条件下,根据循环特性,给出一种分组长度的统计识别方法;然后,根据循环特性及各种约束条件得到备选多项式;再根据校正子权重和最小原则,得到最优多项式;最后通过因式分解得到生成多项式的最终估计表达式。仿真表明,本文算法具有较强的抗随机误码能力,而且其识别性能随着参加统计的码字数增多而提高。该算法不涉及矩阵运算,因此非常适合硬件实现。     

Some Remarks on BCH Bounds and Minimum Weights of Binary Primitive BCH Codes

It is shown that ifm neq 8, 12andm > 6, there are some binary primitive BCH codes (BCH codes in a narrow sense) of length2^{m} - 1whose minimum weight is greater than the BCH bound. This gives a negative answer to the question posed by Peterson [1] of whether or not the BCH bound is always the actual minimum weight of a binary primitive BCH code. It is also shown that for any evenm geq 6, there are some binary cyclic codes of length2^{m} - 1that have more information digits than the primitive BCH codes of length2^{m} - 1with the same minimum weight.     

Generalized Hamming weights for linear codes

Motivated by cryptographical applications, the algebraic structure, of linear codes from a new perspective is studied. By viewing the minimum Hamming weight as a certain minimum property of one-dimensional subcodes, a generalized notion of higher-dimensional Hamming weights is obtained. These weights characterize the code performance on the wire-tap channel of type II. Basic properties of generalized weights are derived, the values of these weights for well-known classes of codes are determined, and lower bounds on code parameters are obtained. Several open problems are also listed     

Bounds and constructions for binary asymmetric error-correcting codes (Corresp.)

By use of known bounds on constant-weight binary codes, new uppper bounds are obtained on the cardinality of binary codes correcting asymmetric errors. Some constructions are exhibited that come close to these bounds. For single-error-correcting codes some constructions are derived from the Steiner systemS(5, 6,12), and for double-error-correcting codes some constructions are derived from the Nordstrom-Robinson code.     

Concerning a bound on undetected error probability (Corresp.)

In the past, it has generally been assumed that the probability of undetected error for an(n,k)block code, used solely for error detection on a binary symmetric channel, is upperbounded by2^{-(n-k)}. In this correspondence, it is shown that Hamming codes do indeed obey this bound, but that the bound is violated by some more general codes. Examples of linear, cyclic, and Bose-Chaudhuri-Hocquenghem (BCH) codes which do not obey the bound are given.     

New binary codes

In this paper constructions are given for combining two, three, or four codes to obtain new codes. The Andryanov-Saskovets construction is generalized. It is shown that the Preparata double-error-correcting codes may be extended by about (block length)^{1/2}symbols, of which only one is a check symbol, and thate-error-correcting BCH codes may sometimes be extended by (block !ength)^{1/e}symbols, of which only one is a check symbol. Several new families of linear and nonlinear double-error-correcting codes are obtained. Finally, an infinite family of linear codes is given withd/n = frac{1}{3}, the first three being the(24,2^12, 8)Golay code, a(48,2^15, 16)code, and a(96,2^18, 32)code. Most of the codes given have more codewords than any comparable code previously known to us.     

Spectra of long primitive binary BCH codes cannot approach thebinomial distribution

Usually spectra (weight distributions) of primitive binary BCH codes are supposed to approximate binomial weight distributions well for a wide range of code rates and code lengths. It is shown that for any fixed code rate R<1 spectra of long (N→∞) primitive binary BCH codes cannot approximate the binomial distribution at all     

Determination of the Local Weight Distribution of Binary Linear Block Codes

Some methods to determine the local weight distribution of binary linear codes are presented. Two approaches are studied: A computational approach and a theoretical approach. For the computational approach, an algorithm for computing the local weight distribution of codes using the automorphism group of the codes is devised. In this algorithm, a code is considered the set of cosets of a subcode, and the set of cosets is partitioned into equivalence classes. Thus, only the weight distributions of zero neighbors for each representative coset of equivalence classes are computed. For the theoretical approach, relations between the local weight distribution of a code, its extended code, and its even weight subcode are studied. As a result, the local weight distributions of some of the extended primitive Bose-Chaudhuri-Hocquenghen (BCH) codes, Reed-Muller codes, primitive BCH codes, punctured Reed-Muller codes, and even weight subcodes of primitive BCH codes and punctured Reed-Muller codes are determined     

纠两个错的二元BCH码的代数完全译码

本文提出纠两个错的二元BCH码的代数完全译码方法。它实现起来比Hartmann的一步一步译码方法速度快,并且当对应校验子S1、S3的错误图样重量为3时,能找出所有对应同样校验子的重量为3的错误图样。同时,本文也建立了GF(2m)上三次方程在GF(2m)上有三个不同根的判别式,这在纠三个错的二元BCH码的完全译码中十分重要。