power_transfo3ph

常用的分形图像的生成程序，算法为确定性算法。(interpolation)

很不错的关于计算分形维的matlab代码(Very good on the calculation of the fractal dimension of the matlab code)

说明：  从师兄那搞到的，以供学习， 单电源混沌测量电压电路模型(Single power supply chaos to measure the voltage circuit model)

说明：  MATLAB的顶级教程，详细讲解了重要的知识点和函数应用方法(Top-level MATLAB tutorial explain in detail the important function of the knowledge points and application methods)

实现对离网运行的孤岛微电网的可靠性评估，用的是解析法，能够很好的评估孤岛的可靠性。(Realize the off-grid micro-run island grid reliability evaluation using analytical method, can be a good assessment of the reliability of the island.)

PLL basic modal in simulink

根据空间矢量的原理，建立了svpwm的matlab/simulink模型，方便学习和使用(According to the principle of space vector is established svpwm the matlab/simulink model, easy to learn and use)

实现了三种不同的AdaBoost算法:Real AdaBoost, Gentle AdaBoost and Modest AdaBoost.(Realize the three different AdaBoost algorithm:Real AdaBoost, Gentle AdaBoost and Modest AdaBoost.)

说明：  求解线性代数中矩阵的行列式、秩和行最简形(It is used for computing the detaminate, rank of Matrixs)

Reconstruction of magnetic resonance images from data not falling on a Cartesian grid is a Fourier inversion problem typically solved using convolution interpolation, also known as gridding. Gridding is simple and robust and has parameters, the grid oversampling ratio and the kernel width, that can be used to trade accuracy for computational memory and time reductions. We have found that significant reductions in computation memory and time can be obtained while maintaining high accuracy by using a minimal oversampling ratio, from 1.125 to 1.375, instead of the typically employed grid oversampling ratio of two. When using a minimal oversampling ratio, appropriate design of the convolution kernel is important for maintaining high accuracy