kalman_filter_success2

多目标粒子群算法求解模糊多目标的问题，快速有效。(Application of Multi-Objective Particle Swarm Optimization to Solve a Fuzzy Multi-Objective Reliability Redundancy Allocation Problem)

可利用该源码程序用Blackman-Tukey法（自相关法）对信号 作功率谱估计。(Can make use of the source program using Blackman-Tukey method (autocorrelation method) on the signal for the power spectrum estimation.)

Earth Mover Distance

Physical Review A 76 043833 所有关键程序(Physical Review A 76 043833 )

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)

introduction to matlab sw.. it designed by me..it is usefull for student

语音信号处理 时域分析 短时能量 短时平均过零率 短时自相关函数( a=wavread( beifeng.wav ) subplot(6,1,1),plot(a) N=32 for i=2:6 h=linspace(1,1,2.^(i-2)*N)； )

本程序为用matlab对kalman滤波进行目标跟踪的应用仿真的程序代码(The procedures for the use of matlab kalman filter for target tracking application simulation program code)

这是一份有关matlab中文教材程序代码，希望通过此文件可以使大家更好的学习matlab。(This is a Chinese teaching materials about matlab code, hope that through this file can make everyone better learning matlab)

利用matlab语言编写了可设置函数曲线图视角的用户界面的源程序。 (Use of matlab language that can be set up function curves from the Perspective of the user interface of the source.)