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说明：  cancorr的matlab程序（2）.用于信号的典型相关的分析。(cancorr the matlab program (2). the canonical correlation for the signal analysis.)

simple cfar algorithm for matlab

一些自适应信号处理的算法，与理论分析结果相比，采用的是脉冲对消法，信号处理中的旋转不变子空间法，IDW距离反比加权方法，滤波求和方式实现宽带波束形成，music高阶谱分析算法，现代信号处理中谱估计在matlab中的使用。( Some adaptive signal processing algorithms, Compared with the results of theoretical analysis, It uses a pulse of consumer law, Signal Processing ESPRIT method, IDW inverse distance weighting method, Filtering summation way broadband beamforming, music higher order spectral analysis algorithm, Modern signal processing used in the spectral estimation in matlab.)

一个非线性kalman滤波源代码，借花献佛，希望对你有用。(a nonlinear Kalman Filtering source code, Jiehuaxianbi hope be useful to you.)

Relay Feedback Tuning of Robust PID Controllers With Iso-Damping Property

parameter dh denavit

这是一篇matlab模糊聚类方法分析的一篇例文，参考价值很大(This is a matlab fuzzy clustering analysis of a Liwen, a great reference value)

我本科毕业设计时研究用的遗传算法解决TSP问题，matlab版本的(I graduated with the design of genetic algorithm to solve TSP problem, matlab version)

贝叶斯分类器设计。 对两组数据（学生的英语成绩）的分类(Bayesian classifier design. On two sets of data (student performance in English) classification)

New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below(New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas- a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below)