ACPR_CAL

通过在MATLAB里编写M文件来建立结晶机的动态数学模型。(MATLAB years through the preparation of M files to create dynamic mathematical model of crystallization machine)

这是一本随机信号雷达的书，详细介绍了随机信号雷达，电子书很清晰(random signal radar)

Backward forward load flow

这是一个用二维小波分析进行信号消噪处理的典型实例。(This is a two-dimensional wavelet analysis Signal Denoising typical examples.)

基于SVPWM的三电平逆变的matlab仿真，计算互信息非常有用的一组程序,包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度。( Based on SVPWM three-level inverter matlab simulation, Mutual information is useful to calculate a set of procedures, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation.)

Multi-threshold selection according to Otsu s method

Cordicc implementation using MATLAB to calculate sin cosine function also convert form polar to cartessia or cartessian to polar(this is a cordic implementation using matlab to compute sin cosine also transfer polar to cartessian vice versa)

Optimal Component Selection Using Mixed-Integer Genetic Algorithm

matalab的线性语音编码的相关程序，很好的，可以用的(matalab linear speech coding procedures, very good, can be used)

说明：  SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。 打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。 (SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results.)