source code

基于Simulink的HLA联邦成员开发技术的研究(Simulink-based members of the HLA Federation Development Research)

this is file for traffic networks benchmarks...

This file takes cropped yale face images file as input and performs classifications based on 1. Correlation 2. Eigen vector based classification (Eigen Face) 3. Fisher Linear Discriminator (FLD) (Fisher Face) The zip contains two files readyaledata.m to read the image database EigenFace-FisherFace.m to do classification as described above

Support for wireless communication: MIMO

实现串口的数据采集，主要是基于mtlab的程序，包含优化类的几个简单示例程序，对信号进行频谱分析及滤波，数据模型归一化，模态振动，应用小区域方差对比，程序简单。( Achieve serial data acquisition, Mainly based on the mtlab procedures, Optimization class contains several simple sample programs, The signal spectral analysis and filtering, Normalized data model, modal vibration, Application of small area variance comparison, simple procedures.)

用BP神经网络实行彩色图像压缩matlab(Bp network color image compression)

基于Matlab的遗传算法实现，适用于在matlab环境下进行遗传学的实验的分析(Based on Matlab genetic algorithm applied to the analysis of the genetics experiments in the Matlab environment)

感应电机模型，利用simulink的simpower模块搭建，与论坛中千篇一律的传递函数搭建不同，直观明了，利用simulink搭建等效电路(Induction motor model, use Simulink simpower module structures, the transfer function of the monotony of the Forum to build and intuitive to understand, the use of Simulink to build the equivalent circuit)

内含心电信号数据及运用MATLAB写的源代码，是国外的成品模型，小波包分析提取振动信号中的特征频率。( ECG data and includes source code written in MATLAB, Foreign model is finished, Wavelet packet analysis to extract vibration signal characteristic frequency.)

说明：  本代码采用python语言编写的的一个LSTM时间序列来预测销量(This code uses a LSTM time series written in Python language to predict sales)