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Normal, Uniform, Triangular distribution. Their composition.
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For a normal distribution, the probability of |input| is calculated and returned (in Q20). The formula for normal distributed probability is 1 s exp(-(x - m)^2 (2 s^2)).
-For a normal distribution, the probability of |input| is calculated and retur
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高斯混合模型算法实现c++，高斯混合模型就是用高斯概率密度函数（正态分布曲线）精确地量化事物，它是一个将事物分解为若干的基于高斯概率密度函数（正态分布曲线）形成的模型-Gaussian mixture model algorithm c++, Gaussian mixture model is a Gaussian probability density function (normal distribution curve) to accurately quantify things, it
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数字通信系统中的随机数生产程序，有泊松分布，正态分布，二项分布等,对研究学习数字通信原理的人有一定参考价值。-Digital communication systems random number generator, there is the Poisson distribution, normal distribution, binomial distribution, etc., to study the principles of learning digital communicati
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Basic Monte Carlo Simulation with normal distribution
To use this file:
Step 1) consider 2500 the mean of the first term. 100 is the Standard
deviation
Step 2) consider 2200 the mean of the first term. 200 is the Standard
deviatio
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LabVIEW实现计算标准正态分布，LabVIEW环境下可直接运行-Normal distribution calculated by LabVIEW.
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正态分布累积函数以及其逆函数：NormsDist、NormsInv-The cumulative normal distribution function and its inverse function: NormsDist, NormsInv
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求标准正态分布，可精确到任意指定小数位。-For standard normal distribution, can be accurate to any specified decimal places.
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高斯混合模型就是用高斯概率密度函数（正态分布曲线）精确地量化事物，它是一个将事物分解为若干的基于高斯概率密度函数（正态分布曲线）形成的模型。-Gaussian mixture model is to use the gaussian probability density function (gaussian distribution curve) accurately quantify things, it is a to break things down for several based
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分布拟合检验的代码，分为正态分布拟合检验和其他分布拟合检验。-Distribution fitting test code to fit into normal distribution fitting test and other tests.
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Normal distribution for Vehicle velocity
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已知结构功能函数z 577X1X2-0.5X3X3 ，其中：
X1服从正态分布，0.5,0.1
X2服从正态分布，3,0.05
X3服从对数正态分布，30,0.05
采用当量正态化法,响应面法，蒙特卡罗法等并用MATLAB编程实现。-Engineering reliability analysis
Equivalent normal distribution method.txt，Monte carlo sampling method directly.txt，Monte-c
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生成随机数，进行均匀分布和正态分布拟合，设置置信度为0.95，可以自动判断是否拒绝原假设-Generate random numbers, uniform distribution and normal distribution fitting, set confidence of 0.95, can automatically determine whether to reject the original assumption
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z=bayes_classifier(m,S,P,X). This function outputs the Bayesian classification
rule for M classes, each modeled by a Gaussian distribution.
where,
M: the number of classes.
• l: the number of features (for each feature vector).
•
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z=euclidean_classifier(m,X). This function outputs the Euclidean classifier,
given the mean matrix.
M: the number of classes.
• l: the number of features (for each feature vector).
• N: the number of data vectors.
• m: lxM ma
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z=mahalanobis_classifier(m,S,X).This function outputs the Mahalanobis classifier,
given the mean and covariance matrices.
• M: the number of classes.
• l: the number of features (for each feature vector).
• N: the number of
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正态分布检验程序，误差分析检验必备,有图充分说明-Normal distribution testing procedures, error analysis test necessary
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如何使用正态分布对点云进行配准，使用标准最优化技术来确定两点云的最优匹配。-How to use normal distribution to point cloud registration, using standard optimization techniques to determine the optimal matching of two points cloud
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单正太分布总体区间估计（均值已知，对方差进行估计）-Single normal distribution population interval estimation (mean is known, estimation of variance)
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均匀分布和正态分布在matlab上的实现-The realization of uniform distribution and normal distribution on MATLAB
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