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golay codes for matlab

Author: Xavier Bresson (％ Last version: Aug 3, 2008 ％ For more information: X. Bresson and T.F. Chan, "Fast Minimization of the Vectorial Total Variation Norm and Applications to Color Image Processing", CAM Report 07-25(Author: Xavier Bresson ( Last version: Aug 3, 2008 For more information: X. Bresson and TF Chan, Fast Minimization of the Vectorial Total Variation Norm and Applications to Color ImageProcessing , CAM Report 07-25)

一个用simulink做的模糊PID自适应系统，FIS等都比较简单，适合初学者。通过与PID的比较曲线可以看出此系统更加优越。(A simulink do with self-adaptive fuzzy PID system, FIS are relatively simple, suitable for beginners. Comparison with the PID system curve can be seen even more superior.)

应用回归分析中岭回归的matlab程序代码(RIDGE REGRESSION)

说明：  关于图像图像的各种很有用的matlab仿真程序代码(Image Image on a variety of very useful code matlab simulation)

说明：  matlab工具箱包含大部分的数学函数，非常适合学习(Matlab toolbox contains most of the mathematical function, very suitable for learning)

matlab中tic与toc函数联合进度条使用例子(tic toc function matlab in combination with the use of examples progress bar)

现代通信原理课程中，在MATLAB中实现二进制频移键控调制程序。(Modern communication theory course, to implement in MATLAB binary frequency shift keying modulation program.)

pll锁相环编程程序 可以使用 matlab 编程语言(The program can be used PLL phase locked loopThe MATLAB programming language )

说明：  模糊控制器的设计不依靠被控对象的模型，而是依靠控制专家或操作者的经验知识。模糊控制的突出优点是能够比较容易地将人的控制经验溶入到控制器中，但若缺乏一定的控制经验，很难设计出高水平的模糊控制器。而且，由于模糊控制器采用了IF-THRN控制规则，不便于控制参数的学习和调整，使得构造具有自适应的模糊控制器较困难。 自适应模糊控制是指具有自适应学习算法的模糊逻辑系统，其学习算法是依靠数据信息来调整模糊逻辑系统的参数。一个自适应模糊控制器可以用一个单一的自适应模糊系统构成，也可以用若干个自适应模糊系统构成。与传统的自适应控制相比，自适应模糊控制的优越性在于它可以利用操作人员提供的语言模糊性信息，对具有高度不确定因素的系统尤为重要(Fuzzy controller design does not rely on the controlled object model, but on control expert knowledge or experience of the operator. Highlight the advantages of fuzzy control is the ability to more easily control the experience of people integrated into the controller, but if a certain lack of control experience, it is difficult to design a high-level fuzzy controller. Moreover, since the fuzzy controller using the IF-THRN control rules is not easy to learn and adjust the control parameters, making construction more difficult adaptive fuzzy controller. Adaptive fuzzy control refers to the fuzzy logic system with adaptive learning algorithm, which is to rely on the data information learning algorithm to adjust the parameters of fuzzy logic systems. An adaptive fuzzy controller with a single adaptive fuzzy system configuration, you can also use a number of adaptive fuzzy system structure. Compared with the traditional adaptive control, adaptive fuzzy control advantages is that it can tak)