Global Avalanche Characteristics and Nonlinearity of Boolean Function with the Hamming Weight k Hamming重量为k的布尔函数的全局特征和非线性度
Generalized Hamming Weight's expression for Cartesian Product 笛卡尔积码的广义Hamming重量的表达式
Generalized Hamming Weights for Nonlinear Constant Weight Codes 非线性等重码的广义Hamming重量
Upper Bounds and lower Bounds on Generalized Hamming Weight for BCH Codes 关于BCH码的广义Hamming重量上、下限
The trellis complexity of linear constant weight codes is determined with the help of the knowledge of dimension/ length profiles and generalized Hamming weights, which improves the related result given by Y. 利用维数/长度轮廓和广义Hamming重量知识,确定了线性等重码格子复杂度,改进了Y。
An analytic method for computing the free distance of convolutional codes and the total information weight from all paths of the same Hamming weight is proposed. 本文提出了一种计算卷积码的自由距离和各等重(汉明重量)路径总信息重量的解析方法。
Weight Distribution about a kind of Shortened Hamming Codes 一类截短Hamming码的重量分布
In this paper, in accordance with the definition of generalized Hamming Weights for nonlinear constant weight codes, some properties of nonlinear constant weight codes are discussed and the expressions of the 2nd, 3rd, generalized Hamming weights are given. 根据非线性码的广义Hamming重量的定义,讨论了非线性等重码的广义Hamming重量的一些性质,同时给出了第2,第3广义Hamming重量的表达式。
Weight theorem and Hamming distance theorems of binary sequences 二进制序列的重量定理和Hamming距离定理
This paper generalizes the definition of generalized Hamming weights for linear codes to nonlinear codes, derives a generalized Elias bound, and gives the weight hierarchy of linear constant weight codes. 本文将线性码的广义Hamming重量的概念推广到非线性码上去,并导出了一种广义Elias界.对于线性等重码,本文给出了其完整的重量谱系。
The Upper Bound of Generalized Hamming Weight of Linear Codes 线性码广义汉明重量的上限函数
Generalized Hamming Weight, Dimension/ Length Profile, and Their Applications 广义Hamming重量、维数/长度轮廓与其应用
Based on one-dimensional Logistic mapping and two-dimensional Henon map, the system output is one of the two-dimensional Henon chaotic iterative values, which is controlled by the Hamming weight of Logistic chaotic iteration value with alternating parameter. 该算法基于一维Logistic映射和二维Henon映射,以交错变参的Logistic映射的混沌迭代值的汉明重量来控制Henon映射输出密钥流。
This paper explains a method of flatness pattern recognition, i.e. utilizes character of three pair of Legendre orthogonal polynomials opposite each other to show six flatness typical patterns, bases on the fuzzy recognition methods of margin of weight hamming distance to making flatness pattern recognition. 利用勒让德正交多项式的三对两两互反特性,来表示六种板形基本模式,提出改进的板形模式识别方法,即提出基于加权海明(hamming)距离差的模糊模式识别。