贝叶斯归一化算法 Bays normalization algorithm
归一化最小均方算法 NLMS ; normalized least mean square
归一化积相关算法 MSD ; normalizated product correlation algorithm
归一化常数模算法 NCMA
域归一化最小均方算法 TDNLMS
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同时，给出了得到全局模式的归一化算法和具体实现的过程。
At the same time, it shows the normalization arithmetic and concrete process to get the global mode.
在预处理环节，通过对各种归一化算法进行分析，确定了一种基于点密度和线密度相结合的非线性归一化方法。
In preprocess stage, based on analysis of many normalization algorithm, the author propose a novel non-linear normalization method, which is the combination of point-density and line-density method.
引入加权平移归一化算法相比前两种传统方法，在精度和抗噪性上都有较强的改进，是一种精度较高的估计基础矩阵的实用办法。
The experiment uses eight algorithms, normalized algorithms and weighted shift normalized method. The precision and anti-noise abilities are improved in weighted shift normalized method.
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