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aaradom
- 正态分布的图形演示 本题用c语言编写的画图程序要在tc2.0下运行. 其余程序在各种编译器下可以运行,-normal graphic demonstration that the use of language c drawing program to tc2.0 running. The remaining procedures in the various compiler can run under, -Graphic demonstration of normal distributio
generating-white-noise
- 编程产生一组正态分布的白噪声信号,它的均值和方差以及长度可随意调整。将产生的白噪声信号存入数据文件。 本程序算法用C++语言编写。首先用乘同余法产生均匀分布白噪声，再用变换抽样法转换为高斯分布白噪声 -Program produces a set of normal white noise signal, its mean and variance, and the length can be adjusted. Will produce a white noise signal int
inverse-normal-cumulative
- 用于图像检测的正态分布计算的c代码实现，现在将这个函数写在头文件中了-Normally distributed computing for image detection of the c code, this function will now be written in the header file in the
guassian-discriminant-analysis
- 基于opencv实现的c++版高斯判别分类，随机生成两类满足正态分布的训练样本点，利用高斯判别分析进行分类-Based on c++ version of the opencv, we realized gaussian discriminant classification by randomly generating two classes meet normal distribution of the training sample points, and used gaussian di
gaosi
- 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