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power factor improvement

高斯插值，本程序使用matlab开发环境实现了数值方法的高斯插值内容，方便好用，将所需插值数据加入，即可实现高斯插值(Gaussian interpolation, the program uses matlab development environment to achieve a numerical method of Gaussian interpolation content, easy to use, add the required data interpolation, Gaussian interpolation can be realized)

地震面波数值模拟，可以修改模型，可以做波场快照，做面波的地震记录(Numerical simulation of seismic surface waves, you can modify the model, you can do the wave field snapshots do surface wave seismograms)

将两个矩阵的卷积运算转换为构造的新矩阵的相乘运算(The two matrix of convolution operation into the matrix multiplication)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

SVPWM technique converter..all types

用MATLAB的配置法函数pdepe()求解一维动态模型(Solving one-dimensional dynamic model with the the MATLAB configuration method function pdepe ())

应用于三电平的基于g-h坐标系的SVPWM算法，相比于传统的SVPWM算法，计算量大大减小了。(Applied to the three-level SVPWM algorithm based gh coordinates, compared to traditional SVPWM algorithm to calculate is greatly reduced.)

详细介绍了双馈感应发电机系统，包括转子侧和网侧控制系统(The doubly fed induction generator system is introduced in detail.)

人脸识别Adaboost源代码,用matlab编写实现，使用Adaboost算法进行人脸检测(source code for face recognation using Adaboost)