my-face-detection

先进pid控制的matlab仿真程序，全书共分11章，包括连续和离散系统的pid控制，常用数字pid控制，等等，内容全面丰富，适合从事生产过程自动化，计算机应用的工程技术人员和研究生阅读。(Advanced pid control matlab simulation program, the book is divided into 11 chapters, including continuous and discrete-time systems pid control, commonly used digital pid control, and so on, comprehensive and rich, suitable for the production process automation, computer application of engineering and technical staff and graduate students to read .)

基于MATLAB的最小二乘法参数辨识与仿真(MATLAB-based parameter identification and simulation of least squares)

说明：  快速傅立叶变换matlab算法 蝶形运算 归一化处理(fft algorithm)

matlab实现产生二进制随机序列函数，包括概率分布(matlab generate binary random sequence to achieve the function, including the probability distribution)

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

fuzzy_cluster模糊聚类分析，本函数使用的是直接聚类法，直接输出聚类信息，无返回值 输入参数data是需要分类的数据，将会对data的列分类，请输入数据前把需要分类的向量按列保存到矩阵data 输入参数numda是分类的分类点，如果不知道可以先省略，系统默认1-0依次减小用以方便判断分割点，然后用户再细分( Fuzzy_cluster fuzzy clustering analysis, the function uses the clustering method is direct, direct output clustering information, no return value input parameter data is needed to classify data, classification of data will be listed, enter the data before the need saved by the column vector classification matrix data to the input parameters numda profile classification point is, if you do not know can be omitted, in order to reduce the system default 1-0 split point for easy judgment, then the user is subdivided)

两本PDF格式电子书，是关于s-function编写的。内容很全面。(Two PDF format e-books, is about the s-function written. Content is very comprehensive.)

蚁群算法最短路径通用Matlab程序蚁群算法动态寻路算法(Shortest path algorithm for general ant colony algorithm Matlab program Dynamic Algorithm for Route)

一个角度变换程序，在处理图像时，能够对图像中某一目标进行角度变换(A point of transformation process, in dealing with image, able to image targets in terms of a transformation)

matlab code for LBM d2q9