TIchinese_A1837

在重构相空间的基础上计算吸引子的分形维时,合适的嵌入维m和时间滞后τ的选取至关重要.在虚假邻域概念基础上,本文给出了确定m和τ的方法.较之以前的方法,此方法更准确、简单、容易理解、易实施,对较小样本数据集也可靠.最后的应用实例验证了理论的正确性.(In the reconstructed phase space based on the calculation of the fractal dimension of attractor, the appropriate embedding dimension m and time lag τ selection is essential. In a mock neighborhood based on the concept, this paper presents the method to determine m and τ. Compared with the previous methods, this method is more accurate, simple, easy to understand, easy to implement on a smaller set of sample data is also reliable. The last application example to verify the theoretical correctness.)

说明：  上传的是matlab和c的混合编程视频，希望大家能够喜欢。(Upload the matlab and c mixed programming video, hope that we can enjoy.)

说明：  LCMV算法智能天线Matlab仿真程序,非常好用，运行就可以看到方向图。希望跟各位资源共享。 (Smart Antenna Pattern algorithm simulation program Matlab, very convenient, can be seen running on the direction of Fig. You hope with the sharing of resources.)

使用BP算法实现语音识别及预测的功能，调试可用(BP algorithm to achieve the function of speech recognition and forecast)

一个自己编写的Tri-training算法，利用支持向量机，K近邻，和朴素贝叶斯进行协同训练(A imagecut.rar Tri-training algorithm, using support vector machine, K neighbor, and simple bayesian for collaborative training)

自己编的5种调制信号，包括数据分析、绘图等等,小波包分析提取振动信号中的特征频率。( Own five modulation signal, Data analysis, plotting, etc., Wavelet packet analysis to extract vibration signal characteristic frequency.)

基于MATLAB的OFDM仿真程序，仿真模块包括BPSK,QPSK,16QAM,64QAM(MATLAB simulation program based on the OFDM simulation module including BPSK, QPSK, 16QAM, 64QAM)

matlab程序源码,这个是我和同学一起做的,大家可以参考看看怎么样的,谢谢大家,可以提议供大家学!(Matlab program source code, and this is my classmates together, we can see how information like, Thank you, can be proposed for everyone to learn!)

m文件形式的无人机仿真模型，做到状态仿真阶段，后续可根据情况进行纵向和横向的设计(In the form of m file, an UAV simulation model,the state simulation stage have done, following it can be used to design the vertical and horizontal situation)

matlab遗传算法经典语句，可以让我们学到在别处学不到的东西，为我们在写程序的时候提供帮助。(matlab genetic algorithm classic statement, you can let us learn things you can not learn elsewhere, provided help for us in the writing program.)