Final_PMSM_model

遗传算法matlab程序，注释详细，适合于初学者学习，采用灾变法避免算法陷入局部最优解(matlab code for genetic algorithm)

CARS-PLS 用于光谱数据或色谱数据变量选择的matlab 源码(CARS-PLS variable selection method for spectral data or chromatography data )

实现功率分配的注水算法的matlab代码仿真(Power allocation algorithm to achieve the waterfilling simulation matlab code)

基于对偶四元数的航天器运动学方程的matlab程序(Based on the dual quaternion spacecraft kinematic equations matlab program)

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)

书本上的几个例子，很好用，可以直接运行。对于初学者比较有用！(Book a few examples of good use, can be directly run. More useful for beginners!)

goertzel stuff. contains matlab files and different explanations of how it is used for DTMF decoding.

说明：  matlab 面向对象编程 从具体实例出发 详细讲解编程中的问题(matlab object-oriented programming starting from concrete examples to explain in detail the problems in programming)

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，导入txt程序，文件大小大于1g(matlab, Import txt program, file size is greater than 1g)