Classification_toolbox

电动机变频调速PWM SIMULINK仿真(Motor Variable Speed PWM SIMULINK simulation)

将普通图划分为超图，并用矩阵表示。是一种简单而实用的方法。(The map is divided into ordinary hypergraph, and is represented by a matrix.)

非常好的关于,BP网络层数设计工作，有很好的应用价值。(Very good BP Neural network,Very good application)

ami码，单极性不归零码的matlab仿真的实现，属于本人课内作业(ami yards Unipolar not NRZ Simulation of Matlab, I belong to the reverse operation)

说明：  图像压缩去噪增强锐化程序，供大家参考。 包括：数字图像矩阵数据的显示及其傅立叶变换 二维离散余弦变换的图像压缩 采用灰度变换的方法增强图像的对比度 采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 图像的自适应魏纳滤波 运用5种不同的梯度增强法进行图像锐化 图像的高通滤波和掩模处理 利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理-(Sharpen Image Compression Denoising enhanced procedures for your reference. Include: digital image data display matrix and its Fourier transform two-dimensional discrete cosine transform image compression method using gray-scale transformation of the contrast-enhanced images using two-dimensional median filter function by medfilt2 of salt and pepper noise image filtering using MATLAB The function affected by noise interference filter2 images mean filter Adaptive Image Filtering Wehner use five kinds of different gradient method to enhance image sharpening images of high-pass filtering and mask treatment using Butterworth (Butterworth) low pass filter noise by smoothing the images deal with the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment)

说明：  永磁直线电机的电流滞环控制，直线电机的模型是用simulink自己搭建的。(Permanent magnet linear motor hysteresis current control)

基于牛顿拉夫逊发 用于电力系统的潮流计算 适合各种节点 (Made based on the Newton Raphson load flow calculation for electric power systems for a variety of nodes)

An implementation of Lucas-Kanade optical flow method for 3-D images(This is an implementation of Lucas-Kanade optical flow method for three dimensional images like NIFTI, DICOM etc. A demo with test dataset is given.)

说明：  电力系统配电网重构，IEEE33节点，电力系统潮流计算优化(Distribution Network Reconfiguration of Power System)

PLS算法 采用归一化 拟合更好的非线性迭代偏最小二乘法（NIPALS）(PLS algorithm using normalized fitting better nonlinear iterative partial least squares (NIPALS) )