mono_LBP

灰色系统预测模型，能够通过少量数据预测将来变化趋势。(Grey system prediction model can predict the future by a small amount of data trends.)

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) )

此程序代码是用matlab编写的无网格伽辽金方法源程序(This code is to use matlab meshless galerkin method source program)

最大后验概率，MAP，基于数据统计于估计，数据(The maximum a posteriori probability, MAP, based on statistics on estimated data)

贝叶斯压缩感知 用于稀疏信号重建，基于贝叶斯理论(Adaptive compressive sensing, Bayesian model selection, compressive sensing (CS), experimental design, relevance vector machine (RVM), sparse Bayesian learning.)

压缩感知中的贪婪重构算法，包括gomp，CoSamp，Romp，Samp，Sp，Stmp，Swmp(The greedy reconstruction algorithms in compressed sensing include gomp, CoSamp, Romp, Samp, Sp, Stmp, Swmp)

MIT人工智能实验室的目标识别的源码,毕业设计有用，匹配追踪和正交匹配追踪。( MIT Artificial Intelligence Laboratory identification of the target source, Graduation useful Matching Pursuit and orthogonal matching pursuit.)

说明：  4个纹理分割算法合集+n篇IEEE论文合集 对研究纹理分割的同学来说，很有效(4+ n texture segmentation algorithm Collection collection of research papers IEEE paper texture segmentation students, it is very effective)

相关的 BSS 盲源分离问题和 CS压缩感知的结合4篇论文打包，以及一个声音信号混合分离的简单实现(the realization of BSS(blind source separation) and CS(compressed sensing), and a sample of volume signal s matlab illustration)

基于matlab，可以将数据输出为txt或者为dat格式的程序(Based on matlab, data can be output as a txt or dat format for the program)