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This it the code to describe rayleigh distribution

Dont Press With Parent Layout extends Linear Layout.

主要有高斯处理，通过MATLAB处理文件(Are Gaussian processing, processing of documents through the MATLAB)

说明：  matlab应用越来越广泛。但如何与VC 结合来提高编程效率呢，本文提供的资料可以帮大家。(matlab application is more and more widespread. How but unifies with VC enhances the programming efficiency, this article provides the material may help everybody. )

说明：  实现SVM matlab实现。。源于毕业设计(Achieve SVM matlab implementation. . Graduation from)

求均值 方差 标准差 用matlab编写的 (Average variance standard deviation using matlab)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

用MATLAB程序实现卫星位置解算、用户位置解算（最小二乘法）、导航电文读取、坐标转换。(MATLAB program to achieve the satellite position solver, solver user location, navigation message reads, GPS positioning simulation (implemented by the least squares method).)

As digital computers cannot generate true random numbers. So a pseudo random number generator must have uncorrelated sequences, long period, uniformity and efficiency. ‘myrand.m’ has pass the chi square test for uniform distribution.

i am uploading the code for convolution in matlab