MATLAB

灰色预测系统的Matlab的工具箱，可以快速使用简单的灰色预测，进行学习。比较适用于灰色算法的初学者。(Matlab toolbox gray prediction system, you can quickly use a simple gray forecast for learning. Gray algorithm more suitable for beginners.)

code for communication

本人收集的蒙特卡法相关内容，内含大量文献和教程，详细介绍蒙特卡洛计算机仿真方法的应用(I collected the Monte Carlo method related content, containing a large number of documents and tutorials, detailing the application of the Monte Carlo computer simulation method)

一本经典的关于光子晶体的书，由John于1987年编写，是学习光子晶体的人不可错过的好书(A classic book on photonic crystals, prepared by the John in 1987, is the study of photonic crystals books were not to be missed)

WiMax physical layer MATLAB code

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.)

Connection system (QAM, PA, AWGN). Demodulation with BER computing.

matlab常用命令查询，方便新手入门matlab(matlab command queries used to facilitate the Getting Started matlab)

多变量微分方程的PID控制程序，通过调整一个参数使得六个变量都的到控制(PID control procedures for multi-variable differential equations, by controlling a parameter makes the six variables are to control)

说明：  读入一段mp3音乐，将音乐进行FM调制，在噪声信道中传输，接收端解调音乐(Reads period mp3 music, music to FM modulation, the transmission in a noisy channel, the receiving terminal demodulates the music)