常用的特征提取方法hog，sift等

some notes abou svd in matlab functions

静止无功补偿器部分程序，基于模块化设计，实现无阻尼控制的SVC功能。(Static var compensator part of the program，Based on modular design, the SVC damping control function.)

自己写的一个锁相环程序，希望对大家有所帮助(A phase-locked loop to write their own procedures, we hope to be helpful)

基于最小错误概率和最小风险的贝叶斯分类器(Based on the minimum probability of error and minimum- risk Bayesian classifier )

关于数学建模风险透支问题的程序，主要解决在风险投资中的最优策略问题(About mathematical modeling risk overdraw problem program, mainly to solve the risk of the investment in the optimal strategy problem )

本程序实现LPP降维功能，用于多模态故障诊断中，对象为TE，诊断效果很好(This procedure realize the LPP dimension reduction function, used for fault diagnosis of multimodal, object for TE )

语音合成线性比例重叠相加法-语音合成线性比例重叠相加法(Speech synthesis is linearly proportional to the overlap-add method- Speech synthesis is linearly proportional to the overlap-add method)

主要应用于对地震信号，数据的去噪，构造了地震数据然后去噪对比结果，(It is mainly used to denoise seismic signals and data, construct seismic data and then denoise the contrast results.)

clear;clc;ticload data.txt;a=data(1:30,1:4);aa=data(31:50,1:4);b=data(51:80,1:4);bb=data(81:100,1:4);c=data(101:130,1:4);cc=data(131:150,1:4);train_sample=cat(1,a,b,c);%组成训练样本（90*4）test_sample=cat(1,aa,bb,cc);%组成测试样本（60*4）k=5;cha=zeros(1,90);sum=0;[i,j]=size(train_sample);[u,v]=size(test_sample);for x=1:u    for y=1:i        result=sqrt((test_sample(x,1)-train_sample(y,1)).^2+(test_sample(x,2)-train_sample(y,2)).^2+(test_sample(x,3)-train_sample(y,3)).^2+(test_sample(x,4)-train_sample(y,4)).^2);        cha(1,y)=result;    end;    [z,ind]=sort(cha);    m1=0;    m2=0;    m3=0;    for n=1:k        if ind(1,n)

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