the-bootstrap-filtering

neural network fault finding relay

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

计算高斯伪谱法中的高斯点和微分矩阵，比较慢，求改进(GPM differentiation matrix and Gauss point)

Genetic factor recursive least squares

matlab 倒立摆PID、LQR仿真程序(matlab Handstand pendulum simulation, using PID，LQR control)

The principal characteristic of VSC-HVDC transmission is its ability to independently control the reactive and real power flow at each of the AC systems to which it is connected, at the Point of Common Coupling (PCC). In contrast to line-commutated HVDC transmission, the polarity of the DC link voltage remains the same with the DC current being reversed to change the direction of power flow.

在这种程序列表中的主要文件是“vblast.m”。键入“help VBLAST系统”关于details.Study命令行编码 透过该计划加强。这些方案的合理需要大约5000包已被绘制accuracy.This 实施了一个2x2的系统。读者可以方案的其他变化。 该方案已经过测试基于MATLAB版本6.0及以上的信号处理工具箱和通信工具箱选项。(The main file in this list of programs is "vblast.m". Type "help vblast" on the command line for details.Study the coding by stepping through the program. These programs require around 5000 packets for reasonable plotting accuracy.This has been implemented for a 2x2 system. The reader can program other variations. The program has been tested on MATLAB version 6.0 and above with signal processing toolbox and communication toolbox options.)

说明：  K最近邻(K-Nearest Neighbor，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。(K nearest neighbor (K-Nearest Neighbor, KNN) classification algorithm, is a more mature approach in theory is the simplest machine learning algorithms.)

It will perform the Zooming operation on input image.

说明：  matlab using this edf file