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可逆直流脉宽调速系统的仿真中很重要的一个模块PWM(Reversible DC PWM speed control system simulation is an important module in PWM)

matlab语言 kalman开发 适用于初学者 (matlab language the kalman development suitable for beginners)

基于PCA的人脸识别程序，内含有人脸库，非常不错的程序，适合初学者学习(PCA-based recognition program, containing someone face , very good program for beginners to learn)

以定子电压和电流为输入，用最小二乘法对异步电机进行参数辨识，包括定子电阻，转子电阻，定子电感，定转子互感。(With the stator voltage and current as the input, the parameters of the induction motor are identified by the least square method, including stator resistance, rotor resistance, stator inductance, stator and rotor mutual inductance.)

说明：  最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

说明：  例子滤波源程序，利用粒子滤波模拟跟踪拟合曲线(partical filter)

提供了《最优阵列处理》这本书的相关源代码，并附有英文版的的homework。(Provide " optimal array processing," source code related to the book, together with the English version of the homework.)

matlab的参考书，介绍了matlab的界面，操作，工具，函数等，并有应用于图形图像处理的例子，代码。(reference books matlab, matlab introduced interface, operation, tools, functions, and graphics are applied to image processing examples, code.)

证据理论中区间模糊matlab实现，用于决策推理(Interval fuzzy evidence theory matlab achieve for decision-making reasoning)

Making skecth in matlab GUI is fun. this code will give that chance and you can modify it on your own to get your desire.