v3

energy leach protocol

用于一维信号的小波包去噪，选取特定的阈值，采用最优小波基(For one-dimensional signal denoising using wavelet packet , select a specific threshold, the optimal wavelet)

A SNR code with no ISI in optical communication

MATLAB常系数线性微分方程的解析解方法、微分方程问题的数值解法、特殊微分方程的数值解、边值问题的计算机求解、偏微分方程求解入门、微分方程的框图求解(MATLAB linear differential equations with constant coefficients analytic solution methods, numerical solution of differential equations the problem, special numerical solution of differential equations, boundary value problem by computer, partial differential equations to solve to introduce the block diagram of differential equations to solve)

读雷达基数据,格式为敏视达SA，类型为反射率因子。将其读入矩阵，并进行了插值，可以以图象显示。(Reading Radar Data)

matlab实现椭圆曲线拟合，两个函数，一个椭圆拟合，另一个是椭圆画图软件，请参考！(elliptic curve fitting matlab to achieve two functions, an oval fitting, the other is oval drawing software, please refer to!)

单相带有mppt的光伏逆变器仿真，mppt采用扰动观察法，带有DC-DC变换器(Single-phase photovoltaic inverter with mppt simulation, mppt using perturbation and observation method, with DC-DC converter)

说明：  关于高通滤波的一些程序，有高通滤波后加中值滤波，还有理想高通滤波程序，以及高通滤波与维纳滤波结合的程序。希望能互相对您有帮助。(High-pass filter on some of the procedures, a high-pass filter Bo Houjia median filter, as well as the ideal high-pass filtering process has been high pass filter combined with the Wiener filtering process. You want to help each other.)

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)

一个可以得到多元回归分析的普适算法，对于分析结果会有不错的帮助。(One can get multiple regression analysis of the universal algorithm for the analysis results will have great help.)