svm-matlab

说明：  在matlab中实现快速简便画圆的一种方法，希望对朋友们有帮助~(Quick picture circle)

几个UKF和EKF例子，本来在工具箱中附带，后经修改，以便易于理解和适应稍有不同的需求。(several UKF and EKF demos,which were attached with KF toolbox, and revised according to tracing purpose.)

基于T-S模糊模型的PDH算法，文件里包含一个实例，以便理解。(PDH algorithm based on TS fuzzy model, the file contains one instance, in order to understand.)

自己学习svm，编写的几个svm实例代码(Their own learning svm, svm example code written in several)

Matlab编程中文版，非常棒的一本编程书！(MATLAB Programming for Engineers)

基于支持向量机SVM原理，引入惩罚系数，在libsvm3.14安装包基础上实现了支持向量回归matlab编程(Based on the SVM principle of support vector machine, the penalty coefficient is introduced, and support vector regression matlab programming is implemented on the basis of libsvm3.14 installation package)

基于MATLAB的图象加噪,去噪程序.程序内以给出详细说明。(MATLAB-based image denoising procedures add noise)

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )

说明：  additive white gaussian noise in matlab

Fourier Transform + Gaussian