MVAcauchy

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )

光学单缝衍射是光学中经常用到的实验，该实验能够很好地模拟光学实验，希望各位好好下载，不懂跟我联系(Single slit diffraction )

除去接受信号中期望信号的mvdr 自适应波束形成算法（自相关矩阵估计）(Remove accepts signals desired signal mvdr adaptive beamforming algorithm (autocorrelation matrix estimation))

离轴数字全息数值重建仿真，基于菲涅尔衍射积分，角谱传递函数等。(Off-axis digital holographic numerical reconstruction simulation)

非线性滤波算法中的粒子滤波，用于目标定位与跟踪。(Nonlinear filtering algorithm in the particle filter for target tracking.)

在MATLAB平台上以拉普拉斯金字塔法实现图像融合(Image fusion Laplacian pyramid method in MATLAB platform)

旋转机械二维全息谱计算的实用例程，包含CV、CA、Single、当前、恒转弯速率、转弯模型，小波包分析提取振动信号中的特征频率。( Rotating Machinery dimensional hologram of practical spectrum calculation routines, It contains CV, CA, Single, current, constant turn rate, turning model, Wavelet packet analysis to extract vibration signal characteristic frequency.)

说明：  时移多尺度排列熵一种应用于非线性非平稳信号的特征提取方法，能够有效的处理信号特征信息。(Time-lapse multiscale permutation entropy is a feature extraction method applied to non-linear non-stationary signals, which can effectively process signal feature information.)

说明：  matlab 的非线性方程组求解多种方法得源程序(Solving nonlinear equations )

基于龙格库塔法的Matlab数值积分函数,每一步都非常清楚完整的解释出来(Based on the Runge-Kutta method of the Matlab numerical integration function, every step is very clear complete explanation out)