DFT和IDFT的Matlab 代码

由VB6.0 gui生成matlab的m文件，可由VB对象生成等价对应的matlab对象(Creates an M-File from a Visual Basic 6.0 Project GUI Interface )

统计与自适应信号处理中的源码，对智能天线的学习有帮助(Statistical and Adaptive Signal Processing source)

说明：  EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

基于Matlab程序的Web Services实现研究，介绍了基本内容与实现方法(Matlab program-based Web Services, describes the basic content )

GA Lecture (Basic Understanding)

基于lyapunov函数的模型参考自适应控制程序(based on lyapunov of MRAC)

NaSch模型MATLAB程序,交通流，单车道元胞自动机模型的程序实现(Program MATLAB NaSch model , traffic flow, lane cellular automaton model )

扩展和无迹kalman滤波学习资料带matlab仿真(Matlab simulation of extended and unscented Kalman filter learning data band)

采用Matlab工具箱函数建立神经网络，对一些基本的神经网络参数进行了说明，深入了解参考Matlab帮助文档。 (Using Matlab toolbox functions to establish neural networks, some of the basic neural network parameters are described to understand the reference to Matlab help documentation.)

fft谐波分析的实例，并求出THD即谐波畸变率 (Examples fft harmonic analysis, and find THD)