Description: C-C方法及改进的C-C方法重构相空间的matlab程序
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性能：
3000数据耗时3分钟
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参考文献：
1、Nonlinear dynamics, delay times, and embedding windows.pdf
2、基于改进的C-C方法的相空间重构参数选择4.pdf
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文件夹说明：
1、C_C_Method_luzhenbo2.m - 程序主文件，直接运行此文件即可!
2、LorenzData.dll - 产生Lorenz离散数据
3、DuffingData.dll - 产生Duffing离散数据
4、RosslerData.dll - 产生Rossler离散数据
5、ccFunction.dll - 计算S(m,N,r,t) - 原C-C方法中计算S(m,N,r,t)，改进的C-C方法中计算S2(m,N,r,t)
6、ccFunction_luzhenbo.dll - 计算S(m,N,r,t) - 改进的C-C方法中计算S1(m,N,r,t)
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致谢：
此稿本次修改的部分灵感来源于与研学论坛网友“张文鸽”和“yangfanboy”的讨论，在此表示感谢!-C-C methodology and improvement of C-C method reconstruction phase space of Matlab procedures -------- ------------------------ performance : 3000 data time-consuming three minutes ----------------------------- -- References : 1, Nonlinear dynamics, delay times, and embedding windows.pdf 2, Based on the C-C method of phase space reconstruction parameters choice 4.pdf --------------- ----------------- folders : one, C_C_Method_luzhenbo2.m-main proceedings, direct running this file can be! 2. LorenzData.dll - Lorenz have three discrete data, DuffingData.dll - Duffing have four discrete data, RosslerData.dll - Rossler have discrete data 5, ccFunction.dll-calculated S (m, N, r, t) - the original C-C method to calculate S (m, N, r, t), to improve the C-C method of calculating S2 (m, N, r, t) 6, Platform: |
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Description: 没有采用短暂分离的方法的GP方法求关联维
G-P算法计算关联维的 Matlab 程序(mex版)
文件说明：
1、GP_Algorithm_main.m - 程序主文件
2、LorenzData.dll - 产生Lorenz离散数据
3、normalize_1.m - 数据归一化
4、correlation_interal.c - 计算关联积分的源代码文件
5. correlation_interal.dll-计算关联积分的mex文件
没有采用短暂分离的方法，该软件的C语言源文件使用的是路振波提供的
关联积分算法，在此说明和表示感谢！
mex文件为matlab7.0版本，使用VC6.0的c语言编译器编译。
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