SVD

matlab练习程序（二值图像内外边界跟踪） 目标内边界的像素全都在目标里面，目标外边界的像素全都不在目标上，是包围着目标的。二值图像内外边界的计算都是有两种方法的，所以一共是4种算法，不过实际用到跟踪的只有一个而已。

高速车辆组合导航研究，主要研究卡尔曼滤波，扩展卡尔曼滤波-High-speed vehicle navigation research, major research Kalman filter, extended Kalman filter

Calc standard error of the mean or non-parametric confidence intervals for samples of a time series

用于说话人识别（声纹识别）中训练过程和识别过程的高斯混合模型程序(GMM model for the training process or test process of speaker identification)

First steps in Matlab

PSO工具，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。(PSO tool, users only need to define their own needs optimization function (calculation of minimum or maximum), and set the good function from the range of variables, each iteration the maximum allowable variation (known as maximum speed, Max_V), etc. , can self-optimize.)

GUSSet GUSSet 算法 示例代码(GUSSet)

An introduction to Support Vector Machine implementations in MATLAB (MATLAB Workshop)

基于SHE的谐波消除方法，使用simulink实现。具有13阶以内消除的功能(Harmonic elimination method based on the SHE, using simulink implementation. Has the function of eliminating within 13 order)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].