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实现最小交叉熵 最大熵 OTSU算法的小程序 简单实用(Minimum cross entropy maximum entropy OTSU algorithm procedure is simple and practical)

kalman filter在参数估计中的应用(Kalman filter to estimate the parameters of)

说明：  SOM算法,matlab程序,是经典的教科书的例子程序(SOM algorithm, Matlab procedures, are classic textbook example of procedures)

图像模板匹配计算，逐象素移动计算当前模板数据，提取图像特征点(image template matching, pixel-by-mobile current template data, image feature extraction point)

百个实用的matlab范例 1-32是：图形篇 33-66是：界面篇 67-84是：形理 (100 matlab practical examples 1-32 are: graphic papers is 33-66: 67-84 Part interface is: form the rationale for)

用于智能天线系统中的移动目标跟踪算法中的另一种MUSIC算法的MATLAB仿真图谱(intelligent antenna system for the mobile target tracking algorithms another MUSIC algorithm MATLAB Simulation B map)

matlab程序，本程序为样本熵程序，程序可运行，是很好的特征提取参数.(matlab procedures, the procedures for sample entropy, the program can be run, is a good feature extraction parameters.)

古典密码学中的一些实现加密的算法，用Matlab实现的。(Classical Cryptography to achieve some of the encryption algorithm, using Matlab to achieve.)

最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)

一维离散分数傅里叶变换 解决分数傅里叶变换的仿真问题(One-dimensional discrete fractional Fourier transform )