Matlab-filtering2

This function SNAKE implements the basic snake segmentation. A snake is an active (moving) contour, in which the points are attracted by edges and other boundaries. To keep the contour smooth, an membrame and thin plate energy is used as regularization.

LCMV优化设计阵列处理信号，均值便宜跟踪的示例，小波包分析提取振动信号中的特征频率。( LCMV optimization design array signal processing, Example tracking mean cheap, Wavelet packet analysis to extract vibration signal characteristic frequency.)

mm1队列的仿真，还得出了统计给定到达率和离去率条件下系统的平均队列长度和平均等待时间，并与理论结果进行比对。(MM1 queue of simulation, it reaches a statistics given arrival rate and leave rate of the system under the condition of the average queue length and waiting time, on average, and the results compared with the theory. )

说明：  基于MATLAB/SIMULINK的光伏电池模型，可调整电压电流光照温度(Photovoltaic cell model )

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)

基于matlab 2014b 的一种spa算法（连续投影算法），本人原本用于做光谱数据的定量分析,寻找特征波长。(Based on matlab 2014b a spa algorithm (continuous projection algorithm), I was originally used for quantitative analysis of spectral data，looking for the Characteristic wavelength.)

圆阵多维波达方位估计算法，可以解左右模糊的方位估计算法(The estimation algorithm circular array Duoweiboda position solution fuzzy around the azimuth estimation algorithm)

matlab计算拟合三维数据，并成三维图(a program which draw a 3_D drawing)

Ball_Beam_Direct_Adapt_New_3 in matlab

基于均匀圆阵的方位角和俯仰角联合估计，采用MUSIC算法和MNM算法估计(Based on Uniform Circular Array azimuth and pitch angle of the joint estimation using MUSIC algorithm and MNM algorithm estimates)