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数值分析中用二分法求解函数值，本资料正是二分法求函数值的MATLAB代码(Function used for solving numerical value dichotomy, the dichotomy of a function of the data value is the MATLAB code)

说明：  用M文件写的模糊控制器，不是采用的模糊工具箱(M file written by the fuzzy controller, not using the fuzzy toolbox)

使用matalb软件，利用递推阻尼最小二乘法进行参数辨识，并改变噪声的强度，即 a*ξ(t)（0<a<1），分析、比较一般递推最小二乘和递推阻尼最小二乘方法的优缺点 ；(Use matalb software, the use of recursive damped least square method for parameter identification, and change the intensity of noise, that is a* ξ (t) (0 <a<1），分析、比较一般递推最小二乘和递推阻尼最小二乘方法的优缺点 ；)

POS粒子群算子，用MATLAB实现其编程，文档里面有具体的介绍，算法的来源，优点，应用，还有一些列子(POS particle swarm operator, MATLAB programming, there is a specific document is introduced, the source of the algorithm, advantages, applications, and some example)

参加数学建模大赛获奖，提供图像的拼接的matlab源代码，有很大价值(Participate in mathematical modeling contest winners, providing an image stitching matlab source code, there is great value)

基于Matlab的音频文件数字滤波处理。本文基于Matlab分析了wav声音文件频谱与声音的关系，并给出了不同采样频率对输出声音信号的影响。(Matlab-based digital filter processing of audio files. This analysis based on Matlab wav sound files and sound relationship between the spectrum and gives different output sampling frequency of the sound signals.)

说明：  optimal P and Q of DG(disributed generator)

利用Matlab编程计算最短路径及中位点选址(Calculated using Matlab programming shortest path and site location)

Introduction to Signal Processing 书的源代码，里面有非常多的数字信号处理算法，很多都是工程使用的，理论上也很有参考价值.是用matlab和C语言写的。(Book Introduction to Signal Processing of the source code, there are an awful lot of digital signal processing algorithms, many of which are used in the project, in theory, is also useful reference value.)

本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件：metropolis_hastings.m该文件包含4个示例，用于通过Metropolis-Hastings算法对复杂函数进行抽样，显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子，用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样，显示生成样本的相关图和直方图，以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)