matlab-program-tshinghua

四种（横线形 竖线形 十字形 方块形）中值滤波(Four kinds of (horizontal cross-shaped vertical-shaped box-shaped), the median filter)

说明：  先用.txt文件导出杆系结构和梁系结构的用于节点校核的数据，然后用matlab程序计算即可进行构件验算(time. Txt file is derived bar structure and the structure of the beam system for checking the data node, then Matlab can be calculated for checking Component)

最优化方法 HookeJeeve 和Powell算法 matlab 程序 简单例子(Optimization method and the Powell algorithm matlab program HookeJeeve simple example)

2000年数学建模B题 材料运输问题 MATLAB和LINGO程序代码(Mathematical modeling in 2000 B topic materials transportation problem and LINGO MATLAB program code )

load cnt file from nuamps device Atmost 40 channels can be read and analyzed

常用IIR语音信号处理器v1.01,可变参数的四种滤波器，实现高通，低通，带通，带阻滤波。(IIR filter)

这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，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。 调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，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，放入决策数组中。 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”，调用最小风险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，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability 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 The third step is the 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 . Bayesian classifier )

将多个心电数据建立在一个结构体中，建立结构体。(Multiple ECG data based on a structure, create a structure.)

此文件给出了LT喷泉码的软译码算法的matlab实现及其相应的文章.(This document gives the realization of soft decoding algorithm for the LT fountain codes and its corresponding the article.)

快速分类算法 快速分类算法快速分类算法快速分类算法(the quick sort algorithm for matlab. quick sort algorithm for matlab. quick sort algorithm for matlab. )