SATSP-MATLAB

这是由Andrea Monti Guarnieri的卫星轨道确定算法，基于的是norad 的tle数据(This is Andrea Monti Guarnieri satellite orbit determination algorithm, is based on the norad of tle data)

OFDM coding with different modulation schemes

希尔伯特黄变换的相关资料。有需要的可以下载下来学习学习！也可以大家讨论(Hilbert Huang transform the relevant information. Need to download to learn from! You can also discuss)

本代码有详细的注释，给出了采用CNN方法检测道路的程序，并给了测试图片！(This code has detailed notes, gives way to detect the use of CNN programs, and to a test picture!)

本代码是针对《合成孔径雷达成像：算法与实现》书后光盘的CSA实现(This code is for " synthetic aperture radar imaging: algorithm and implementation," the book the disc to achieve CSA)

本件描述了单电感入网的解耦模型，通过仿真和实验验证了正确性(This part describes the decoupling model of single inductor network, through simulation and experiment verify the correctness )

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)

MATLAB数字信号处理里面的源代码和课件

遗传算法求解非线性规划问题的两个MATLAB源程序(Genetic Algorithm for nonlinear programming problems two MATLAB source)

fdtd 程序源代码（有吸收边界的）给出可是化结果(1D FDTD simulation in free space Without Absorbing Boundary Condition )