zuixiaoercheng

说明：  1、LargestLyapunov_example1.m 程序主文件1，直接运行此文件即可 2、LargestLyapunov_example2.m 程序主文件2，直接运行此文件即可 3、LorenzData.dll 产生 Lorenz 离散数据 4、PhaSpaRecon.m 相空间重构 5、Lyapunov_luzhenbo.dll Lyapunov 计算主函数 6、lyapunov_buffer.dll Lyapunov 计算缓存(1, LargestLyapunov_example1.m procedure master file 1, run this file directly to 2, LargestLyapunov_example2.m procedure master file 2, run this file directly to 3, LorenzData.dll generated Lorenz discrete data 4, PhaSpaRecon.m phase space reconstruction 5, Lyapunov_luzhenbo.dll Lyapunov calculation of the main function of 6, lyapunov_buffer.dll Lyapunov cache calculation)

实现2d-DOA 算法的仿真，实验结果以均方误差的形式绘制图表(The simulation of 2d-DOA algorithm is implemented, and the experimental results are plotted in the form of mean square error)

implement of kalman filter in Matlab (implement of kalman filter in Matlab)

another file simulation in simulink

MATLAB计算机视觉与深度学习实战-运行视频(As a biological technology, face is difficult to be stolen and infection-free. In addition to that, it enjoys the authentication concealment and is never forgotten. Therefore, authentication based on face recognition will become the mainstream of future development. It has important and extensive application in various fields, and is also a hot topic at present biological characteristics identification technology research. Under the non-restrictive condition, the face recognition rate is not high, and its accuracy needs to be further improved. In this paper, the following aspects is analyzed)

说明：  LSTM可用的matlab程序，可用到时间序列预测(Matlab code for predicting via LSTM algorithm)

truetime 的例子（I),介绍联网，使用truetime2.0(truetime example (I), describes networking, use truetime2.0)

振动倒立摆，对倒立摆的研究，对matlab动画例程都有帮助的(I have made simple Matlab Code below for this tutorial example and you can modify it for your need.)

电力电子BUCK电路的电压电流双闭环仿真(Power electronics double-closedloop simulation of BUCK circuit)

人工蜂群算法的matlab源代码，共有两个版本，原作者版和改进版。 (Artificial Bee Colony (ABC)algorithm matlab source code, there are two versions, the original author version and an improved version. Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. )