SVD-watermarking

球体研磨轨迹的均匀化，判断研磨均匀性。从而判断研磨质量(lapping track)

libsvm的安装，配置，以及用libsvm完例成的一个小实(The installation, configuration, and use of libsvm as a small implementation)

该程序是以matlab 为开发工具，软件功能是计算银行贷款的本息计算，只要输入你的贷款额度，贷款年限，就可以很方便地计算每个月的本息及余额。(The program is based on matlab for development tools, software functionality is the calculation of bank loan principal and interest calculation, just enter your loan amount, loan length, we can easily calculate the monthly principal and interest and balance.)

利用matlab/simulink 编写的直流调速程序(using Matlab/Simulink prepared by the DC converter procedures)

这是几个不同形状参数的广义高斯分布的密度函数作图，以及形状参数的极大似然估计的程序。(This is several different shape parameters of the generalized Gaussian distribution density function mapping, as well as the shape parameter of the great likelihood estimation procedures.)

基于神经网络的 一维线性滤波器 分为I到VI型 等波纹数字滤波器 用matlab实现 (One dimensional wave digital filter based on neural network using MATLAB implementation)

《自适应滤波器》第五章代码，很详细，值得推荐(Chapter adaptive filter code, very detailed)

This code is for evaluating reliability indexes in a system with Distributed generation resources. Wind power and solar energy are considered in this simulation.

本程序能够计算两个信号的频域相干函数和两个信号的互功率谱。(This procedure is able to calculate the two signals in the frequency domain coherence function and the two signals cross-power spectrum.)

fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s with parameter: s format:result = fit_rayleigh_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted output: result - structure with the fields s - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution