KernelLPP

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

自己编写的牛顿法 电力系统潮流计算的MATLAB的例子 很好很实用的(I have written a Newton power flow calculation of MATLAB is very useful examples of good)

VF control of induction motor

均值背景建模，包含视频！效果还可以，背景建模的还是不错的！(Mean background modeling, including video! Effect can be, background modeling is good!)

说明：  SVM 现在主要用于故障诊断。他可以解决非线性，小样本。(svm is a means for fault detect.)

MULTI LAYER PERCEPTRON FOR MATLAB

网格法求解优化问题示例程序（MATLAB code）(Programmes by using grid method for solving optimization problems (MATLAB code))

FSK信号的产生，该信号在通信领域有着十分重要的意义！(FSK signal generation, the signal in the communications field has great significance!)

Formant_tracker based on LPC Analysis format:[formants]=formant_tracker(input,dimension,step,window_size,p,threshold)

信号处理中参数最大似然估计的仿真程序设计(Maximum likelihood parameter estimation simulation)