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POD (proper orthogonal decomposition) code in Matlab

对两次互交流是不是符合rapp算法的模拟仿真(pair of two mutual exchange is not consistent with rapp Simulation Algorithm)

语音分析与合成的资料以及matlab的有关说明(Speech analysis and synthesis of information and the related statement matlab)

说明：  模糊控制 很好用的模糊控制，能出波形，希望对大家有帮助(Good use of fuzzy control fuzzy control, to the wave, we want to help)

说明：  matlab开发用于对统计数据进行威布尔分布的估计，并对其进行三参数的评估与计算。(Matlab is developed to estimate the Weibull distribution of statistical data, and to evaluate and calculate three parameters.)

说明：  《MATLAB小波分析》书本实例源程序。 希望为各位的学习带来方便！(MATLAB wavelet analysis examples of source books.I want to bring convenience to learning!)

本例程为改进的LMS算法NLMS算法的MATLAB实现和其收敛性的验证程序(This routine is improved LMS algorithm NLMS algorithm in MATLAB and its convergence verification procedures)

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)

Vincent Jaquet & Marek Pechal基于社交网络的传染扩散模型，matlab程序(Vincent Jaquet & Marek Pechal infection based social network diffusion model, matlab program)

Approximate Maximum Likelihood 算法处理DOA估计的Matlab算法代码(matlab function for DOA estimation using Approximate Maximum Likelihood method)