UKF

对输入的数字图像进行二维离散傅立叶变换，由matlab实现(The input digital image to two-dimensional Discrete Fourier Transform, from matlab realize)

another version of histogram

神经网络工具箱中的BP工具函数及其应用,请大家放心使用(BP neural network toolbox utility functions and its applications, please rest assured to use)

OFDM信号通过功率放大器以及功率放大器的预失真全套代码(OFDM PA)

各类模糊控制程序，适合做锅炉系统的来做，希望对大家有用。(FUZZY CONTROL)

说明：  需求响应模型，包括电动汽车，风光出力，储能等，simulink(Demand response model, including electric vehicles, wind output, energy storage, etc., Simulink)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

a complete biblio of the asynchronous machine

canny边缘算法的实现，代码比较简单，能实现。(canny edge algorithm, the code is relatively simple to achieve.)

De John s second equation using Evolutionary strategies(ES)...