wave-denoise

Gibbs sampling算法,生成Ising model的随机样本

（1） 本系统用到四种神经网络对漏电嫌疑系数进行预测，分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络，通过对神经网络结构参数的设置和调试，可以得到很好的预测效果，实际值和预测值之间的误差能达到5 以内。 （2） 本系统使用matlab做GUI界面，在界面上就可以分别对这四种神经网络的结构参数进行设置，从而可以调整神经网络的结构，达到较好的预测精度。 ((1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values ​ ​ of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.)

Fluery alghoritm for finding Euelrs path in graph. Cool thing!

signal processing,signal processing

Closed loop: Magnetic Levitation animation

刘金凯智能控制第二版仿真程序刘金凯智能控制第二版仿真程序(Liu Jinkai Intelligent Control Second Edition emulators Liujin Kai Intelligent Control Second Edition Emulator)

GLCM_Features1 helps to calculate the features from the different GLCMs that are input to the function. The GLCMs are stored in a i x j x n matrix, where n is the number of GLCMs calculated usually due to the different orientation and displacements used in the algorithm. Usually the values i and j are equal to NumLevels parameter of the GLCM computing function graycomatrix(). Note that matlab quantization values belong to the set {1,..., NumLevels} and not from {0,...,(NumLevels-1)}

这是一个关于模态参数识别的资料，里面有几种关于模态参数识别的方法。(This is a modal parameter identification information, which there are several on the modal parameter identification method.)

国外编写的一个QPSK仿真程序，给出了调制解调及误码分析(Foreign QPSK simulation program written in a given modulation and demodulation and error analysis)

节点分层计算配电网潮流，内有实际算例分析，已编译通过(Hierarchical distribution networks and computing nodes, there are practical examples and analysis, compiled by)