其实验结果与哈夫曼编码做了比较，经过分析，此编码方法在灰度级概率均匀分布时具有优势。
Experimental results were compared with Huffman code, and through analyzing, this code method has advantage when probability of gray scale is distributed equally.
而均匀蒙特卡罗算法采用均匀分布来描述位姿信息的信任度概率。
Uniform Monte Carlo Localization USES uniform distribution as probability of local position in MCL.
对于改进型中心极限定理法，用概率密度转换器对均匀分布的随机数做密度转换，然后再累加产生正态分布的随机数。
With new Central Limit Theorem, convert the uniform random number's probability density using probability density Converter, then add all generated random Numbers.
采用均匀分布和正态分布两种随机模型分析成功脱离概率；
Uniform distribution and Gauss distribution are utilized to obtain the probability of Success.
采用均匀分布和正态分布两种随机模型分析成功脱离概率；
Uniform distribution and Gauss distribution are utilized to obtain the probability of Success.
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