Canny

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)

利用实例教会初学者MATLAB的GUI的设计过程，非常实用(Examples of the use of the church beginners MATLAB GUI design process, very practical)

channel estimation of ofdm using pilot based

说明：  《Matlab与C++》这本书的第一章，包含matlab程序和C++程序(" Matlab and C++" the first chapter of this book, including the matlab program and C++ program)

这是一个用matlab写的小波域HMM进行一维信号处理的程序(This is a matlab written using wavelet-domain HMM for one-dimensional signal processing procedures)

基于dbr路由协议的水下无线传感器网络节点布置。(MATLAB simulation of Depth-Based Routing(DBR) Protocol for UWSN)

dct algorithm image fusion

零阶加权局域法预测，Matlab编程，很好用。附加本人的原数据！(Zero-order local law weighted prediction, Matlab programming, very easy to use. Additional my original data!)

invert pendulum:controller using frequency caracteristics controller LQR controller using root locus polyadd for adding vectors GUI interface for simulated the response of the invert pendulum

Cp model for DFIG wind turbine