cyclic_auto

this is matlab code for estimating the static linear system with Least Squre that is written by matlab 7.0. Here we want to estimate the below function: 1 - u^2 + 2*u^3 +u^5 +3*u^7 these are 2 files : without noise and with noise finally,there are plots for showing results.

Matlab环境下，进行二维空间波动方程的模拟。吸收边界条件(Matlab environment, the wave equation for two-dimensional simulation. Absorbing boundary conditions)

implementing haar transform

在线系统辨识资料以及辨识课件，讲解详细，有例题！还讲解了模型阶次辨识，有详细例题介绍！(Online system identification and identification of courseware, to explain in detail, with examples!)

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 )

pemodelan pangan using matlab

Some of the files at the homepage can be incompatible with newer version of PowerWorld,

k-means Clustring sub routine very useful Texture Image Segmentation

数字图像矩阵数据的显示及其傅立叶变换 MATLAB(digital image data matrix display and Fourier Transform MATLAB)

基于机动目标当前统计模型的单目标跟踪，采用卡尔曼滤波实现(Maneuvering target based on current statistical model of the single-target tracking using Kalman filter to achieve)