相控阵雷达数字去斜仿真 wideband

说明：  比较经典的MATLAB教程，文字清晰，适合入门者。(More classic MATLAB tutorial, text clear, suitable for beginners.)

基于GUI界面的数学建模、图像处理、以及公式计算。(GUI based interface mathematical modeling, image processing, as well as the formula.)

本人用matlab编写的rels(最小二乘法），rls(递推增广最小二乘法),riv(辅助变量法递推算法)的程序，都是2阶的，稍改动就可以变成其它阶次(I use matlab prepared rels (least squares), rls (augmented recursive least squares method), riv (auxiliary variable method recursive algorithm) procedure, are 2 bands, a little change can be turned into other order)

双馈风电模型基于matlab的仿真模型供大家学习参考下(Doubly-fed wind power model matlab-based simulation model for them to learn to refer to the following)

改变背景值的灰色预测，实际应用时直接修改样本数据即可运行。(Change the grey prediction of background value, directly modify the sample data to run the actual application.)

travel guide to cairo eygpt

this is sysnthtic aperture algoriths for sonar. fftsa is algoriths to compenstate phase distortion.

普通解矩阵时，在计算量想当大时候，会出现病态矩阵，这个程序采用迭代方法计算。(it s a way to calculate the matrix.everyone can have a try .solving the matrix is a problem ,this maybe can help you~)

FISHER CLASIFICATOR Classifies samples into two categories using the Fisher discriminator

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )