MATLAB

数字信号处理(matlab版)随书源代码，作者维纳K英格尔，柳树堂译，本书提供大量的数字信号处理matlab程序，讲解数字信号处理知识，使得学习很容易上手(Digital signal processing (matlab version) source code with the book, the author Wiener K Ingle, Liushu Tang translation, the book provides a large number of digital signal processing matlab program, explain the knowledge of digital signal processing, makes learning very easy to use)

本代码包括Music算法以及Root-music算法的仿真实现，对初学者大有裨益(The code includes Music algorithms and simulation Root-music algorithm of great benefit for beginners)

说明：  梯度下降法是一個一階最佳化算法，通常也稱為最速下降法。 要使用梯度下降法找到一個函數的局部極小值，必須向函數上當前點對應梯度（或者是近似梯度）的反方向的規定步長距離點進行疊代搜索。如果相反地向梯度正方向疊代進行搜索，則會接近函數的局部極大值點；這個過程則被稱為梯度上升法。(The gradient descent method is a first-order optimization algorithm, also commonly referred to as the steepest descent method. To find the local minimum of a function using the gradient descent method, an iterative search must be performed to the specified step distance point in the opposite direction of the gradient (or approximate gradient) of the current point on the function. If the search is reversed in the opposite direction to the positive direction of the gradient, it will approach the local maximum point of the function; this process is called the gradient ascent method.)

this code is used to form the ybus admittance matrix of a power system

卡尔曼滤波 卡尔曼滤波 卡尔曼滤波 卡尔曼滤波(kaerman kaerman ekf ekf )

仿真滚动轴承信号，通过不同阈值降噪方法，降噪后的时域图(Simulation of rolling bearing signal, through the different threshold noise reduction method, time-domain figure after noise reduction)

MATLAB语言的随机森林算法的例程，可以用于学习随机森林算法(Random Forest algorithm MATLAB language routines can be used to learn Random Forest algorithm)

基于学习的图像超分辨率重建，可以进一步了解基于学习的方法。(Learning-based super-resolution image reconstruction, we can further understand the learning-based approach.)

关于拟合的程序，对学习信号处理的同学们很有帮助，做曲线拟合时很有用(On the fitting procedures, students learn useful signal processing, curve fitting is useful when doing)

说明：  matlab 感知器源程序 matlab 感知器源程序 (Matlab source Matlab Perceptron Perceptron Perceptron source Matlab source Matlab perceptron source)