Statistical-description-

多维变量的寻优算法，遗传算法解决多变量的最优化问题。(multivariable GA)

Matlab Tutorial for beginners

也试着把《MATLAB在振动信号处理中的应用》中的ZFFT改为函数，方便其它坛友的调用，并提供调试程序和数据(Also tried to " MATLAB in Vibration Signal Processing" ZFFT change in function to facilitate the other Friends of the altar call, and debug programs and data)

Segmentation of iris and its normalization in matlab

这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的胡修改的程序，osu_svm3.00文件夹是使用svm分类器调用的文件，使用该分类器时，代码中间的路径需要修改。另外附上一堆常用的数据集。(This is Hu Qinghua teacher at Tianjin University neighborhood rough set field do the most classic source code, students can learn and modify On this basis, the entry procedures have been written, you need other ways to add your own, MAIN.m entry program is meaning parameters Functions talked in very clear call for the featureselect_FW_fast.m attribute reduction, several clsf_dpd file is to use a different formula to calculate the distance attribute importance, choose properties to get the results, use crossvalidate.m ten fold cross algorithm to calculate the accuracy of the calculation algorithm, the segment code calls several classifiers, C4_5.m is a decision tree, KNN.m is the nearest neighbor classifier, NEC.m is similar to KNN Hu modified program, osu_svm3. 00 folders using svm classifier called file, using the classification code in the middle of the path need to be modified. Also attach a bunch of common data sets.)

communication sys on simulink

matlab实现的最小二乘法拟合程序，其中包含了数值结果分析过程。(matlab implementation of least-squares fitting program, which includes the analysis of the numerical results.)

Chebyshew-1型带通模拟滤波器，可以较好的实现边界滤波(Chebyshew-1,band pass filter,used for signal processing)

fs = 8000 t = (0:1/fs:1). x1 = cos(2*pi*t*300) x2 = cos(2*pi*t*400) ha = phased.ULA( NumElements ,10, ElementSpacing ,1) ha.Element.FrequencyRange = [100e6 300e6] fc = 150e6 x = collectPlaneWave(ha,[x1 x2],[10 20 45 60] ,fc) rng default noise = 0.1/sqrt(2)*(randn(size(x))+1i*randn(size(x))) hdoa = phased.ESPRITEstimator( SensorArray ,ha,... OperatingFrequency ,fc) doas = step(hdoa,x+noise) az = broadside2az(sort(doas),[20 60])

两个matlab编写的图像分割算法，分水岭和模糊C均值聚类算法(matlab codes, watershed algorithm and fuzzy C means clustering algorithm)