TVP_FAVAR

abc frame modelling of induction motor and its free acceleration mode study

matlab 线性算法的研究，适合初学者学习(matlab linear algorithm, suitable for beginners to learn)

基于MFCC的语音识别仿真系统，文件中带有完成语音识别训练的源代码.(Simulation-based MFCC speech recognition system, the file with complete source code for speech recognition training.)

小波实现图像压缩的程序，matlab仿真，可以下载下来学习一下，简单易懂(Wavelet image compression of small procedures, to share)

filter kalman with matlab

线性调频信号的产生程序，比较简单的一种，用来仿真参考。还有个127位m序列的产生程序(Linear FM signal generation process, a relatively simple to simulate reference. There is a 127 m sequence generation program)

应用蒙特卡罗模拟方法计算期权价格 统计模拟方法亦称蒙特卡罗(Monte-Carlo)方法.因为通常的教科书几乎不涉及 此内容.了解的人不多。听到过的人又常把它看作是统计力学或核物理等学科的专门工具.很少想到这个方法与自己的科研工作有什么关系。 (Application of Monte Carlo simulation method of calculating the option price statistics, also known as Monte Carlo simulation method (Monte-Carlo) methods. Because textbooks are usually almost do not involve this content. Not many people understand. Heard of people often see it as a statistical mechanics or nuclear physics disciplines, such as specialized tools. Rarely thought about this method and their own research work has anything to do.)

利用matlab仿真金属圆柱体内电磁波分布，有助于掌握电磁波的传播情况。 把程序文档放入matlab的默认读取文档中，打开Cwave.m。Cwave.m是演示程序，由它调用其它函数。其中Z表示Kz*z，范围为0~2*pi。默认取2*pi为一个周期，num表示在一个周期内平均取多少个Kz*z值，默认为50(计算后每个值如Er都有五十幅图)。CWaveGuideCaculate函数用于计算Er,Efia,Hr,Hfia,Hz等值。CWaveGuideShow用于三维显示计算后得到的值，可以比较生动看到在一个周期内计算量的一连串的变换。(Matlab simulation using electromagnetic wave distribution inside the metal cylinder, is useful in the propagation of electromagnetic waves. To process the document read into matlab' s default document, open the Cwave.m. Cwave.m is the demonstration program, which will call other functions. Where Z said Kz* z, the range of 0 ~ 2* pi. The default access for a period of 2* pi, num, said the average take in a cycle number of Kz* z, default is 50 (calculated as per the value of Er has 50 chart). CWaveGuideCaculate function is used to calculate Er, Efia, Hr, Hfia, Hz equivalent. CWaveGuideShow been calculated for three-dimensional display of values, can be seen more vividly in a cycle of computation of a series of transformations.)

说明：   实 现 Cholesky(Cholesky)

采用稀疏表示能够实现N类M个人脸的正常识别(Using sparse representation can be achieved Class N M individual normal face recognition)