源程序

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)

说明：  四种常见的归一化方法，归一化效果不错。应用在matlab环境下。(Four common normalization method, normalized results are good. Used in the matlab environment.)

详细介绍了机器学习中非监督学习的内容、分类和方法(This document introduces the unsupervised learing of Machine learning with details.)

用MATLAB/Sinulink 搭建的SVPWM空间矢量控制程序(MATLAB/Sinulink structures of SVPWM space vector control program)

利用matlab研究使用维纳滤波器对语音信号去噪的例程(Using matlab studies using Wiener filter speech signals denoising routines)

matlab书籍 这是一本优化工具箱基础知识的书 这是本书的第一部分(it is matlab book and you can learn the basic matlab optimization and this is the first part of the book )

卷积码与Turbo码的性能仿真对比，在AWGN信道和Rayleigh信道下。(Performace Comparison of Convolutional codes and Turbo codes under AWGN channels)

MATLAB/Simulink仿真模型。 改进的变步长上山法的最大功率跟踪仿真模型。 实用可行。(Based on matlab/simulink. MPPT. Practical and feasible.)

Matlab关于分水岭算法及改进的分水岭算法(Matlab on the watershed algorithm and improved watershed algorithm)

the book is about designing smart antennas for wireless communications