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《Matlab6.x辅助图像处理》 书中的示例源码(" Matlab6.x-assisted image processing," source book)

系统辨识 利用matlab进行仿真 对系统辨识(System identification using matlab simulation of system identification)

分类器的实现，线性分类器的有关代码。matlap实现(Classifier to achieve a linear classifier on the code.)

一种有效的模糊PID控制程序和一个反步控制程序 能够运行，非常好用(FUZZY ＰＩＤ　ｃｏｎｔｒｏｌ backstepping control)

宽带无线信号的多径效应仿真，外文教材的代码(Broadband wireless signals in multi-path effects simulation, foreign language teaching materials code)

该源码包包括二值图像边界提取程序、边界序列提取程序、边界序列均匀抽样程序、计算边界的傅立叶描绘子程序、根据傅立叶描绘子对图像边界重建程序(The source package includes binary image edge detection process, the boundary sequence extraction process, the border sequence of uniform sampling procedure to calculate the boundary Fourier subroutine described, according to the boundary Fourier descriptors of the image reconstruction process)

白噪声经过AR模型的输出作为LMS滤波器的输入，已知：a1=1.558；a2=-0.81；白噪声方差为1.0，均值为0；u＝0.002；利用Matlab实现：(White noise as the input of the LMS filter after the output of the AR model known: a1 = 1.558 a2 =-0.81 white noise variance of 1.0, an average of 0 u = 0.002 using Matlab:)

,在MATLAB环境下对 学生自主学习成绩决策表进行了求解,分析了该决策表的上近似集、下近似集、不可分辨关系、约简、核集、属性依赖度的概念,从而 在原始数据的基础上得出了条件属性与决策属性间的关系。 (The knowledge theory based on rough set can help to simplify the knowledge proceeded from originaldata. In the paper it intro- duces the rough set theory and its principle algorithms. MATLAB Rough SetToolbox is programmed to analyze the decision table of self-learn- ing system from students score database.The concepts such as the upper approximation, lower approximation, indiscernibility relation, reduc- tion, core set, and attribute-importance are analyzed based on the score database table.Thus, the relations between condition attributes and de- cision attributes of the score database are obtained on the basis of original data. )

说明：  在MATLAB下实现的KALMAN滤波，一个二维平面(In MATLAB to achieve the Kalman filter, a two-dimensional plane)

Optical Charactor Recognition