对邮件管理系统的一个出口路由器代码

Matlab中的高光谱图像中的端元提取算法(An algorithm for the extraction of the end elements in hyperspectral images in MATLAB by Liuliu)

说明：   改进的牛顿法求解： 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. (improve Newton's method : Construction of the equation : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : Your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)

混合蛙跳算法程序，采用1、若干次运行取最优 2、增加进化代数maxgen 3、加大种群规模popsize。三种方法来可有效克服随机初始化带来的局部极小问题(Shuffled frog leaping algorithm, using one, several runs to take the best two, increasing evolution algebra maxgen 3, to increase the population size popsize. Three ways to effectively overcome local minima caused by random initialization problem)

RLS波束形成代码，供大家参考学习，关于阵列信号处理的内容。(RLS beamforming code, for your reference learning, about the content of the array signal processing.)

说明：  BOXCOX变换,可实现数据的预处理，boxcox变换消除复共线性(BOXCOX transformation for data preprocessing and boxcox transformation for elimination of complex collinearity)

支持向量机的程序，可以进行分类和回归，效果比神经网络好，没有维数灾难的问题，是比较好的建模方法。(Support vector machine procedures can be carried out the classification and regression, the effect better than the neural network, there is no dimension disaster problem, it is more good modeling method.)

对学好matlab很有用 ，对理解通信原理的一些很有用(Matlab to learn useful principle in understanding the communication of some very useful)

matlab函数，可以产生满足一定要求的心电信号(matlab function, can produce to meet certain requirements of ECG)

线性回归算法,其功能是对一组数据进行分析预测,数据分为年度,月度,季度数据(Linear regression algorithm, and its function is to a group of data analysis and forecasting, data is divided into annual, monthly, quarterly data)

包含了使用matlab对声音信号进行时域和频域分析，加高斯噪声，并用高通、低通、带通滤波器进行滤波，并显示波形图。(Contains the sound signal using matlab time domain and frequency domain analysis, plus Gaussian noise, and high-pass, low pass, band pass filter to filter and display waveforms.)