Using the encoding redundancy of hamming codes to embed secret information is a newly information hiding method.
利用汉明码的编码冗余携带秘密信息是又一种信息隐藏方法。
Use more than one parity bit, Hamming codes can not only verify the data is valid, but also in case of error in the data indicated the wrong location.
利用一个以上的校验位，汉明码不仅可以验证数据是否有效，还能在数据出错的情况下指明错误位置。
This paper presents a neural network decoder of linear block codes which originates from Hamming network.
本文提出了一种源于汉明类多层前向神经网络分组码译码器。
The parameter of some special linear codes - Period Distribution and Generalized Hamming Weights (Support Weights or Higher Weights) were studied in this paper, and it was departed by two section.
这篇论文主要研究了几类特殊线性码的两个新的参数-周期分布和广义汉明重量(有时也称为高维重量或支持重量)。
The Generalized Hamming Weights (GHW) of linear codes characterize the cryptography performance of the code on the wire-tap channel of type two.
线性码的广义汉明重量谱描述了码在第二类窃密信道中传输的密码学特征。
These sub-codes can be the same or not, Hamming code, extended Hamming code, BCH code, single parity check code , and so on.
子码码型可以相同也可以不同，可以使用汉明码、扩展汉明码、BCH码、单奇偶校验码。
These sub-codes can be the same or not, Hamming code, extended Hamming code, BCH code, single parity check code , and so on.
子码码型可以相同也可以不同，可以使用汉明码、扩展汉明码、BCH码、单奇偶校验码。
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