OFDM

Matlab 官方工具箱使用说明 pde偏微分方程工具箱.pdf(Matlab toolbox official use of partial differential equations PDE toolbox. Pdf)

关于经典倒立摆的MATLAB simulink 仿真程序，基于最优二次型的仿真程序，通过改变状态矩阵可以改变系统模拟(With regard to the classic inverted pendulum MATLAB simulink simulation program, based on the optimal quadratic-based simulation program, the state matrix can be changed by changing the system simulation)

说明：  共同学习，共同提高，资源共享 移动通信中常用的turbo码相关程序(studying together, enhancing and sharing resources Mobile Communications common turbo codes related procedures)

车牌字符识别matlab源程序车牌字符识别matlab源程序车牌字符识别matlab源程序(The license plate character recognition matlab source code license plate character recognition matlab source code license plate character recognition matlab source code)

FOlder contains 2 Matlab projects for Velocity analysis and normal moveout correction in exploration seismology. Good exercise

深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)

说明：  matlab的基本教程，挺实用，希望对大家有帮助(matlab Tutorial)

代码里有很完整的注释和解释，快速扩展随机生成树算法，基于混沌的模拟退火算法。( Code, there are very complete notes and explanations Rapid expansion of random spanning tree algorithm, Chaos-based simulated annealing algorithm.)

matlab+PID控制程序,基于BP神经网络的控制程序(matlab+ PID control program)

此文件为matlab实例源程序，可直接用于实际，也可加以修改，应用广泛。(matlab)