lms3

this code of Particle Swarm Optimization algorithm

Classification of vibration signals using Multi-layer perceptron MLP

基于人工神经网络的常用数字信号调制，采用波束成形技术的BER计算，采用偏最小二乘法，相控阵天线的方向图（切比雪夫加权），使用matlab实现智能预测控制算法，本科毕设要求参见标准测试模型。( The commonly used digital signal modulation based on artificial neural network, By applying the beam forming technology of BER Partial least squares method, Phased array antenna pattern (Chebyshev weights), Use matlab intelligent predictive control algorithm, Undergraduate complete set requirements refer to the standard test models.)

在理想的信道状态条件下，对MIMO-OFDM系统进行仿真，包括信道估计，调制，解调，信道编解码等(In an ideal channel state conditions, the MIMO-OFDM system is simulated, including channel estimation, modulation, demodulation, channel coding and decoding)

说明：  计算故障分类的每个属性的信息熵，选取最大的作为根节点(For fault classification information entropy of each attribute, select the largest as the root)

自己写的matlab上GUI界面，可以读取行情软件导出的txt格式历史数据，并汇出k线和技术指标，可以通过GUI编辑设置、各种指标及其参数。主图附图指标编辑通过编写脚步实现，有例子。 解压后，将work下的dir.mat中的wkdir变量修改成与你放置的目录一致，也可以就将work放置在"d:/matlab/"下. read2mat.m从文本中读取数据，并存在与文本文件同名的.mat格式的文件中。 运行kfigure,加载.mat格式文件就可以画出k线图和指标图。其他功能很多和股票软件差不多，大家自己试就行了。(Matlab GUI interface to write their own, you can read the historical data of market software exported txt format, and Export k lines and technical indicators, you can edit the settings through the GUI, various indicators and their parameters. The the main figure drawings indicators edit achieve by writing the footsteps examples. After decompression, modify the work under dir.mat wkdir variable and you are placed in the same directory, will work placed in the " d :/ matlab /" . Read2mat.m to read data from a text, and exist with a text file of the same name. mat format file. The run kfigure, loading mat format file can draw k chart and indicators Figure. Other features and stock software almost everyone own try line.)

基于动态时间规划（DTW）的语音信号识别，MATLAB环境下的(Dynamic Programming (DTW) of the speech signal recognition, MATLAB environment)

Decorrelated fast cipher source code from state technical university in Russia

说明：  针对故障诊断，本程序为多工况故障诊断，利用gmm对TE过程实现了故障检测，效果很好(According to the fault diagnosis, the program for fault diagnosis of the condition, TE process to realize fault detection using GMM, the effect is very good)

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.