acf

QuantMSE using matlab

在matlab上实现各自函数傅立叶变换的小程序，仅供参考。(In matlab to achieve their respective functions Fourier transform applet for reference only.)

模糊神经网络的源代码，最近在学习这方面的知识，共享一下，初学者可以看看(Fuzzy neural network source code)

根据耦合膜理论，和光纤在空间的总功率为1，计算得到不同包层模式的归一化常量(According to the coupling film theory, and the total power of optical fiber in the space of 1, calculated with different cladding modes of the normalization constants)

DSM Simulation m-file

基于实时运行条件下的39节点电力系统的可靠性的编码(Based on the reliability of real-time encoding of the operating conditions of the 39-bus power system)

事先计算图像的标准差，可以用来评判图像变换是否可信(Calculate the standard deviation of the prior image can be used to judge the credibility of image transformation)

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))

说明：  Data management code

说明：  CHAPTER 5 (C5 Folder) BASICS OF ELECTRIC MACHINES AND TRANSFORMATION Project 1: QD0 Transformation of Network Components SIMULINK file none MATLAB M-file none Project 2: Space Vectors SIMULINK file s2.mdl MATLAB M-file m2.m (also used by masked block) Project 3: Sinusoidal and Complex Quantities in QD0 SIMULINK file s3.mdl MATLAB M-file m3.m (also used by masked block)