3.Standard-FOCUSS

说明：  应用matlab进行数字信号处理的一些源代码，希望对大家有帮助。(Matlab applications for digital signal processing of the source code, and I hope to be helpful.)

a=load( q.txt ) width=input( 请输入窗宽 ) step=input( 请输入步长 ) m=length(a) for i=1:floor((m-width)/step+1) s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step) end b=max(max(s)) M=s./b Rs=input( 请输入本体集半径 ) nd=input( 请输入检测器数模 ) k=1 while k<=nd d{k}=rand(1,width) for i=1:floor((m-width)/step+1) if (norm(d{k}-s(i,:)))^2<Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2)

贝叶斯分类器，首先生成3000个高斯分布的点，1000个点做训练集，2000个点做测试集。先运行data_generator.m自动生成两个集盒，再运行bayes_classifier.m进行分类(Bayesian classifier, the first generation 3000 Gaussian distribution of points, 1000 points to do the training set, 2000 points to do the test set. Automatically generated the first two sets running data_generator.m box, and then run bayes_classifier.m classification)

关于matlab语言与控制系统设计方面的一些例子(Some examples of the the matlab language with control system design)

target windows data set up file for code warrior assembly

Analyzing 2-opt for Traveling Salesman problem (TSP)

一种基于图像内容的分割，该压缩包内含有与该分割方法相关的英文文献，可以好好研究，(effcient Graph-Based Image Segmentation)

是matlab之语音处理与合成工具箱这本书的随书程序，很实用哦。珍藏！！！(good!!It s useful for you !!!!!)

TDOA/AOA定位的扩展卡尔曼滤波定位算法Matlab源码(TDOA/AOA positioning of the extended Kalman filter localization algorithm Matlab source code)

Support Vector Machine Classification tutorial