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ELM is neural network algorithm with matlab

matlab program for papr reduction using companding technique

（1）在MATLAB环境下编写FFT算法（不调用系统现有函数）； （2）实现对选定图片进行FFT计算、还原（IFFT计算），并与系统FFT函数做对比，进行分析； （3）设计GUI界面。((1) the preparation of the FFT algorithm (do not call the system existing function) in MATLAB environment (2) to achieve the selected image to the FFT calculation, reduction (IFFT computing), and FFT functions to do comparison with the system for analysis (3) Design GUI interface.)

以某个用户的权限运行程序，相当于windows下的run as(Permissions to a user running the program, which is equivalent to run as under windows)

本文件为数学建模算法与应用的光盘文件，里面涉及到各种智能算法(This document is the mathematical modeling algorithms and applications disc file, which involves a variety of intelligent algorithms)

这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，通过比较概率大小判断一个体重身高二维向量代表的人是男是女。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小错误率贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到不同先验概率条件下错误率的统计。 (This is the minimum error rate pattern recognition Bayes classifier design. Self- improvement prior probability in different conditions , male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector third step is to application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Call the minimum error rate decision Functions Bayesian)

GPON 标准 GPON ITU 标准 G984.1-2003 (GPON ITU standard G984.1-2003)

该资料是我当时在学MATLAB时使用的资料，很好用的。(MATLAB)

this function is used for fitting data. This function is used with another function called funct_for_curve_fitting.m and data_for_fitting.txt

matlab实现的简单的人脸识别系统，附带有图片，可以直接运行，代码简单易懂(Matlab implementation of simple face recognition system, with pictures, can be directly run, code easy to understand )