woptics.fresnel_equations

本代码是ADC有效位测试的三参数经典算法的MATLAB文件，仅供参考。(the code is for enob of ADC using classical 3-parameter testing method.)

迭代最近点算法的一个简单实现，并使用了两个二维点集进行测试(an implementation and validation for the data association of two 2d point sets based on iterative closest points)

这是一个matlab神经网络的简单应用，主要用于预测光伏出力，输入为温度湿度等因素，输出为光伏出力。(this is an simple example appling neural network using matlab which can be used to predict the active power of a PV.Tempreture,humid etc are input variables and the active power of a PV is output variable)

说明：  用于图形图像处理中的图像压缩。其中的方法是用于压缩感知.(Graphic image processing for image compression. One method is for compressed sensing.)

This is the matlab soution manual for the execrsis behind the chapeter 7 of AFT text book

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

using simulated annealing to find optimum of 3D function

pca和kpca程序，对大家有很大的帮助，系统辨识和故障识别，很有用的，谢谢(Pca and kpca program, to all have a big help, system identification and fault recognition, very useful, thank you )

上传一些matlab源代码供大家使用，希望对大家有所帮助(Upload some matlab source code for everyone to use, we want to help)

matlab语言开发的图像去噪的固定点迭代法， 基于偏微分方程的一个算法。(Matlab language Image Denoising fixed-point iteration method, based on partial differential equations of an algorithm.)