svpwm0108

对测试函数运用响应面的方法做了四阶响应面模型。(Using response surface of the test function method to do a fourth-order response surface model.)

说明：  最简单的模拟退火算法，自己编的小程序，用于优化问题，求全局最小值。(simmulated annealing (SA))

pv three phase grid connected system

matlab实例教程(含语句注释)，包含13个章节，详细(matlab tutorial examples (including the statement notes), contains 13 chapters, detailed)

针对leach协议 采用matlab仿真(Leach agreement for the use of matlab simulation)

基于matlab的最佳基带传输系统仿真(升余弦滚降系统)(the best base-band transmission system simulation (or cosine roll-off system))

说明：  肌电信号高低滤波算法与50Hz陷波器算法，仿真已通过(The EMG high-low filter algorithm and 50Hz notch filter algorithm have been simulated.)

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)

数字信号处理的各主要部分知识点的MAtlab实现(Digital signal processing point of the main part of the knowledge to achieve MAtlab)

BP神经网络等多种算法预测高铁站客运量，程序下载可直接运行。(BP neural network and other algorithms predict high-speed rail station passenger volume, program downloading can be directly run.)