ThreePhase_ACDCAC_PMWconverter_2

一个滤波的具体的应用，滤除乌拉组啦的噪声，相当有意思的(The application of a specific filter, filter out the noise Ulla Group Rights, quite interesting)

基于MATLAB的频域直接法设计IIR滤波器程序(MATLAB-based direct method of frequency domain IIR filter design procedure)

采用RS码技术的系统仿真，程序说明详尽，是学习通信技术的一个难得的好材料。(RS code using the system simulation, a detailed description of the procedures is to learn a valuable communication technologies good material.)

说明：  一个关于matlab进行飞行器仿真设计的文章介绍，希望能为大家提供参考(An aircraft on the matlab simulation design for the article describes, hoping to provide a reference for everyone)

matlab，数字水印，信息隐写，适合毕业设计(Matlab, the digital watermark)

KNN Classification Code

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

在matlab软件中编程实现基于遗传算法优化BP神经网络非线性系统拟合算法(In the matlab software programming based on genetic algorithm to optimize the BP neural network nonlinear system fitting method)

较为简单的MC CDMA系统matlab仿真(Simpler MC CDMA system simulation matlab)

will read images from a file imagelist1 and resize all of them to the size of 320 rows and 240 column.