MATLAB5

matlab 分步傅里叶变换 用于光纤中的非线性薛定谔方程解法 (split-f-trans This program could deal with the transmission of light in optic fiber describe with NLSE)

D F P变尺度法子程序 matlab程序 Powell法子程序 内点惩罚函数法子程序 进退法子程序 黄金分割法子程序 外点惩罚函数法子程序 (relay) (D F P variable scale recourse procedures Matlab procedures Powell recourse procedures point penalty function tool procedures stop recourse procedures 0.618 recourse procedures Point Penalty Function tool (relay))

本文采用最小平方误差准则(MSE准则)通过训练样本集建立线性判别函数，并用线性判别函数去判断测试集。 数据集报告： 1、男女生 2、sona 3、ups(In this paper, the least square error criterion (MSE criterion) the training sample set by a linear discriminant function, and a linear discriminant function to determine the test set. Data Set Report: 1, boys and girls 2, sona 3, ups)

matlab遗传算法经典语句，可以让我们学到在别处学不到的东西，为我们在写程序的时候提供帮助。(matlab genetic algorithm classic statement, you can let us learn things you can not learn elsewhere, provided help for us in the writing program.)

时隙ALOHA协议是对ALOHA协议的简单修改，把传输时间分为一个个时隙，数据包只能在时隙的开始进行并行传输。在当前的时隙中产生的数据包只能在下一个时隙的开始进行并行传输。(Time slot ALOHA protocol is simple modification of ALOHA protocol, the transmission time is divided into a time slot, packets can only be the beginning of time slot for parallel transmission. In the current time slot of packets can only be the beginning of the next time slot for parallel transmission. )

这个是用MATLAB程序编写的回波消除的代码，效果不错，简单明了(This is a MATLAB programming with the echo cancellation code, the effect is good, simple and clear)

通过比较自编MATLAB 的k-means 算法程序和SPSS 中自带的k-means聚类工具，对两个数据集聚类，并分析了聚类结果。(By comparing the k-means algorithm program of self-compiled MATLAB with the K-means clustering tool of SPSS, two data sets are clustered and the clustering results are analyzed.)

说明：  基于HSM（harominic/stochastic model）模型的声音转换工具包。内含声音的预处理，分割，建模，参数转换以及实验部分。需要具备一定的语音转换相关知识。(Based on HSM (harominic/stochastic model) model voice conversion kit. Includes pre-sound, segmentation, modeling, parameter conversion and experimental parts. Need to have some knowledge of voice conversion.)

本程序可以用来进行非平稳、非线性信号的阶比跟踪分析(Nonstationary and nonlinear properties of order tracking analysis)

Data mining, machine learning