example_of_particle_filter

function pi = solve2(count,m,cc) 借助布冯投针实验 仿真求pi的值 pi=0 frq=0 randNo = binornd(1,cc,1,m) pro=zeros(1,count) for j=1:count for i = 1:m if randNo(1,i) == 1 frq = frq + 1 end pro(i) = frq/i end pi = (2*m)/frq pro(j) = pi end pro = pro,num =1:count plot(num,pro) (function pi = solve2 (count, m, cc) to vote with Buffon needle experiment simulation find the value of pi pi = 0 frq = 0 randNo = binornd (1, cc, 1, m) pro = zeros (1, count) for j = 1: count for i = 1: m if randNo (1, i) == 1 frq = frq+ 1 end pro (i) = frq/i end pi = (2* m )/frq pro (j) = pi end pro = pro, num = 1: count plot (num, pro) )

判断一组数据服从何种分布：正态分布判，断泊松分布判断，γ分布判断，指数分布判断，rayleigh分布判断(Determine a set of data obey what distribution )

新基于邻域粗糙集的前向贪心的属性约简算法(New neighborhood-based forward greedy rough set attribute reduction algorithm)

讲述了机械故障诊断中一些理论知识，如现在常用的HHT，对初学者有帮助。(Tells the story of some mechanical fault diagnosis theory of knowledge, such as the now commonly used HHT, help for beginners.)

基于EM算法的高斯混合模型参数估计Matlab算法，(EM algorithm-based parameter estimation of Gaussian mixture model)

产生Rician分布的noise Matlab源程序(Rician distribution noise maker in Matlab)

专家PID源程序 刘金锟 先进PID(Expert PID source)

压缩感知技术中两篇重要的PPT文档，来自海外，有助于理解基本匹配算法及其拓展，以及近三年来CS研究进展。(Compressed sensing technology in two important PPT document, from overseas, helping to understand the basic matching algorithm and its development, as well as the past three years CS research progress.)

该函数实现标准的常增益滤波算法，用于状态估计，目标跟踪(Alpfa beta filter)

现代信号处理，语音处理，matlab程序，LMS算法(matlab lms speech)