MY_MPSK

通信系统仿真 1.FDMA的simulink仿真 2.TDMA的simulink仿真 3.CDMA的simulink仿真 4.三种多址方式比较 (详细要求请见文件内题目描述)(Communication system simulation 1.FDMA simulink simulation 2.TDMA simulink simulation 3.CDMA simulink simulation 4. Comparison of three multiple access (see the detailed requirements described in the document title))

说明：  matlab使用guide界面对滤波器设计，可实参数填写来获得低通，带通，高通等滤波器，这里有源代码，及guide界面，适合初学者学习参考。(Guide to filter matlab use interface design, can fill in to get real parameters low pass, band-pass, qualcomm, filter, here are the source code, and guide interface, is suitable for beginners learn reference.)

说明：  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：  一些例题是m源代码，供大家参考与学习，希望对大家有所帮助。(Some examples are m source code for reference and learning, we want to help.)

The newest code of Dynamical systems with applications using MATLAB

实现K近邻算法，并提供两个数据集的分类、回归测试案例。(Realize the KNN algorithm, meanwhile two test cases including both classification and regression.)

边缘检测的matlab程序，一种不错的软件，对图像处理的学习有很大帮助(Edge Detection Matlab procedures, a good software, the image processing will be of great help to study)

电机abc系统转换的matlab仿真程序，c语言编写，matlab环境下运行(Motor abc system conversion matlab simulation program, c language, matlab environment to run)

MATLAB主要函数和命令注释，包括操作系统命令，编译M文件，用户交互式功能(MATLAB main function of the Notes and orders, including orders operating system, compiler M paper user interactive functions)

地震信号处理的各种代码，包含SU等的程序，对要写这方面程序的有很大用处(Various seismic signal processing code, write this regard the program very useful)