BPfuheyuce

说明：  实现了hu的七个不变矩，matlab实现，很实用(This code realize Hu s moment by matlab)

矩阵分解：将实现矩阵的最优化分解，同时保证矩阵的非负性(matrix Factorization)

齿轮加工的matlab程序,当齿数小于17时，可能产生一些影响，由于跟根切的原因(A matlab program to produce the gear.)

A Fast Algorithm for Total Variation based Deconvolution

运用分块算法将秘密图像嵌入的一幅大图中，达到信息隐藏的效果(Block algorithm using a secret image is embedded in a large figure, to the effect of information hiding)

使用matlab进行机电系统综合仿真设计，内容包括PPT教程和模型文件。(Mechanical and electrical systems integration using matlab simulation design, including PPT tutorials and model files.)

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))

matlab 的一些小练习小程序，大约只有20左右个，最基本的图形变换等 (Matlab small practice small, only about 20 or so, the most basic graphics transform, etc )

Fast Hog People Detection

一个图像去噪的Matlab程序，可用于图像的边缘提取等工作。(Image denoising)