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说明：  FMC聚类算法的仿真，分析，以及仿真图和采集的数据(FMC clustering algorithm simulation, analysis, and simulation map and the data collected)

there are some codes aboutAdaptive equlalization in the telecommunication

EEMD是针对EMD方法的不足,提出了一种噪声辅助数据分析方法。EEMD分解原理为:当附加的白噪声均匀分布在整个时频空间时,该时频空间就由滤波器组分割成的不同尺度成分组成。(EEMD)

本程序实现chebyshev I型低通滤波(the program chebyshev I-low-pass filter)

相控阵波束形成仿真程序，该程序使用最大噪声的方法对加权函数进行优化(Phased array beam forming simulation program, the program uses the method of maximum noise weighting function to optimize)

matlab与PSPICE的数据通信接口技术(matlab and pspice data coummunication)

说明：  植物虫害检测（GUI，注释，svm算法） 该课题为基于MATLAB SVM方法的植物病害检测系统，带GUI界面，可以识别多种被虫害侵蚀的植物叶子，输出结果。带论文和详细注释。 train 对黄瓜子文件夹所有图片提取 颜色矩特征和gabor纹理特征，然后svm训练 test 对测试图像灰度化，滤波，提取 颜色矩特征和gabor纹理特征，然后svm模型测试，输出类别 colorMom.m 颜色矩特征提取 Gabor_palm.m gabor纹理特征提取(Plant pest detection (GUI, annotation, SVM algorithm) The project is a plant disease detection system based on MATLAB SVM method, with GUI interface, which can identify a variety of plant leaves eroded by pests and output results. With paper and detailed notes. Train extracts color moment features and Gabor texture features from all the pictures in the sub folder of cucumber, and then SVM trains them Test grayscale and filter the test image, extract color moment features and Gabor texture features, then SVM model test, output category Colormom. M color moment feature extraction Gabor u Palm. M Gabor texture feature extraction)

说明：  Domain Services driver for Logical Domains.

E=input( enter the generator voltage: ) V=input( enter the infinite bus voltage: ) Gx=input( enter the reactance of generator: ) L1x=input( enter the line reactance: ) L2x=input( enter the line reactance: ) L3x=input( enter the line reactance: ) L4x=input( enter the line reactance: ) Pi=input( enter the input power: ) X1=Gx+L1x+((L2x*L3x)/(L2x+L3x))+L4x Pm1=E*V/X1 DO=asin(Pi/Pm1) A=((L2x*L3x)/(2*(L2x+L3x))) C=A B=((L3x/2)^2)/(L2x+L3x) X2=(Gx+L1x+A)+(L4x+A)+(Gx+L1x+A)*(A+L4x)/B Pm2=(E*V)/X2 X3=Gx+L1x+L2x+L4x Pm3=(E*V)/X3 DC=input( enter the fault clearing angle: ) Dm=(3.14-asin(Pi/Pm3)) a1=quad( sin ,DO,DC) A1=(Pi*(DC-DO)-Pm2*a1) a2=quad( sin ,DC,Dm) A2=Pm3*a2-Pi*(Dm-DC) if(A2>=A1) disp( the system is stable ) else disp( the system is unstable ) end Dcc=acos((Pi*(Dm-DO)-Pm2*(cos(DO))+Pm3*(cos(Dm)))/(Pm3-Pm2)) disp( critical clearing angle: ) Dcc

说明：  1.同时对多个光谱数据进行一阶导数计算，并保存在元胞数组中。2.对光谱数据进行取均值，每三个列为一组。(At the same time, the first derivative of multi-spectral data is calculated and stored in the cell array.The spectral data are averaged and divided into three groups.)