Full-bridge-rectifier-transformer

QPSK通过瑞利信道的MATLAB仿真,测试能成功(QPSK Rayleigh channel through MATLAB simulation, the test will succeed)

this is a FDTD with PML ABC for infinite linear source...

频域的模态参数识别方法之一，可以对振动信号进行分析处理，得出结构的固有频率，阻尼比，振型系数，方法很好，程序完整(One of modal parameter identification method in the frequency domain, can the vibration signal analysis and processing, obtain the natural frequencies, damping ratio, mode shape coefficient method is very good, complete procedures)

matlab toolbox robot create

Check this file for sensor

说明：  matlab 隐马尔科夫程序 经过本人验证确实可以用，很好很强大(matlab Bee conly sua)

a logistic regression in matlab

针对二维场景下的机动目标跟踪的IMM算法实现，设计了20个模型集(IMM algorithm for maneuvering target tracking two-dimensional scenarios designed 20 Model Set)

说明：  The program can be used. ABC algorithm can solve the VRP Problem for reference.

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)