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Description: 基于Cao方法求得混沌时间序列相空间重构的最优化嵌入维的Matlab程序-Cao method, based on the chaotic time series reconstruction phase space optimization of the embedded peacekeeping procedures Matlab
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Author: 胡维刚 |
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Description: 1、该工具箱包括了混沌时间序列分析与预测的常用方法,有:
(1)产生混沌时间序列(chaotic time series)
Logistic映射 - \ChaosAttractors\Main_Logistic.m
Henon映射 - \ChaosAttractors\Main_Henon.m
Lorenz吸引子 - \ChaosAttractors\Main_Lorenz.m
Duffing吸引子 - \ChaosAttractors\Main_Duffing.m
Duffing2吸引子 - \ChaosAttractors\Main_Duffing2.m
Rossler吸引子 - \ChaosAttractors\Main_Rossler.m
Chens吸引子 - \ChaosAttractors\Main_Chens.m
Ikeda吸引子 - \ChaosAttractors\Main_Ikeda.m
MackeyGLass序列 - \ChaosAttractors\Main_MackeyGLass.m
Quadratic序列 - \ChaosAttractors\Main_Quadratic.m
(2)求时延(delay time)
自相关法 - \DelayTime_Others\Main_AutoCorrelation.m
平均位移法 - \DelayTime_Others\Main_AverageDisplacement.m
(去偏)复自相关法 - \DelayTime_Others\Main_ComplexAutoCorrelation.m
互信息法 - \DelayTime_MutualInformation\Main_Mutual_Information.m
(3)求嵌入维(embedding dimension)
假近邻法 - \EmbeddingDimension_FNN\Main_FNN.m
Cao方法 - \EmbeddingDimension_Cao\Main_EmbeddingDimension_Cao.m
(4)同时求时延与嵌入窗(delay time & embedding window)
CC方法 - \C-C Method\Main_CC_Luzhenbo.m
(5)求关联维(correlation dimension)
GP算法 - \CorrelationDimension_GP\Main_CorrelationDimension_GP.m
(6)求K熵(Kolmogorov Entropy)
GP算法 - \KolmogorovEntropy_GP\Main_KolmogorovEntropy_GP.m
STB算法 - \KolmogorovEntropy_STB\Main_KolmogorovEntropy_STB.m
(7)求最大Lyapunov指数(largest Lyapunov exponent)
小数据量法 - \LargestLyapunov_Rosenstein\Main_LargestLyapunov_Rosenstein1.m
\LargestLyapunov_Rosenstein\Main_LargestLyapunov_Rosenstein2.m
\LargestLyapunov_Rosenstein\Main_LargestLyapunov_Rosenstein3.m
\LargestLyapunov_Rosenstein\Main_LargestLyapunov_Rosenstein4.m
(8)求Lyapunov指数谱(Lyapunov exponent spectrum)
BBA算法 -
\LyapunovSpectrum_BBA\Main_LyapunovSpectrum_BBA1.m
\LyapunovSpectrum_BBA\Main_LyapunovSpectrum_BBA2.m
(9)求二进制图形的盒子维(box dimension)和广义维(genealized dimension)
覆盖法 -
\BoxDimension_2D\Main_BoxDimension_2D.m
\GeneralizedDimension_2D\Main_GeneralizedDimension_2D.m
(10)求时间序列的盒子维(box dimension)和广义维(genealized dimension)
覆盖法 -
\BoxDimension_TS\Main_BoxDimension_TS.m
\GeneralizedDimension_TS\Main_GeneralizedDimension_TS.m
(11)混沌时间序列预测(chaotic time series prediction)
RBF神经网络一步预测 - \Prediction_RBF\Main_RBF.m
RBF神经网络多步预测 - \Prediction_RBF\Main_RBF_MultiStepPred.m
Volterra级数一步预测 - \Prediction_Volterra\Main_Volterra.m
Volterra级数多步预测 - \Prediction_Volterra\Main_Volterra_MultiStepPred.m
(12)产生替代数据(Surrogate Data)
随机相位法 - \SurrogateData\Main_SurrogateData.m
2、在matlab环境中首先运行install.m,将工具箱所在路径添加至matlab
3、各子目录下以Main_开头的文件即是主程序文件,直接按快捷键F5运行即可
4、工具箱中所有程序均在Matlab6.5和Matlab7.1环境中调试通过，不能保证在Matlab其它版本正确运行。
5、工具箱中部分功能为试用版，敬请谅解！
6、
作者：陆振波，海军工程大学
欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页
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Author: niuchao0511 |
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Description: 基于Cao方法求得混沌时间序列相空间重构的最优化嵌入维的Matlab程序-Cao method, based on the chaotic time series reconstruction phase space optimization of the embedded peacekeeping procedures Matlab
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Author: 胡维刚 |
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Description: 电压源逆变器加LCL滤波器挂网，SVPWM控制，适用于matlab7.3版本-Chang Tai揤column ? floor LCL Cao Jian Shu She ? Habitat SVPWM ㄛ ㄛ秶satirical巠using quilt hanging matlab7.3唳
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Author: cml |
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Description: 假近邻法和Cao方法求混沌系统嵌入维的MATLAB源代码。可直接运行。-False neighbor method and Cao method of embedding dimension of chaotic systems demand MATLAB source code. Can be directly run.
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Author: zps |
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Description: 应用于混沌系统中的计算相空间重构的嵌入维数的程序----Cao方法计算嵌入维数m值-the method of calculating the demension of phace space
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Author: ziyoumudi |
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Description: 实现图像的分割。改程序是在matlab环境下运行的，程序中用到了k-means算法，实现的结果很不错-This is the program of image segmentation based on the following work:
S. Chen, L. Cao, J. Liu, and X. Tang, "Image Segmentation by MAP-ML Estimations", submitted to IEEE Transactions on Image Processing.
Note that this program was only tested on 32-bit PCs installed with Windows XP or Windows Server 2003. Since the K-means algorithm used in this program is from Matlab Statistics Toolbox, the program runs slower than when a faster K-means algorithm is used which can be obtained at http://vision.ucsd.edu/~pdollar/toolbox/doc/. The program was tested using Matlab R14 and the image processing Matlab Toolbox is required to run it.
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Author: 培培 |
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Description: EM modeling with matlab
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Author: samuel |
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Description: Applied Numerical Methods Using MATLAB - Yang Cao Chung and Morris
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Author: the 99 |
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Description: .Applied.Numerical.Methods.Using.MATLAB.-.Yang.Cao.Chung.and.Morris.文字版 matlab经典书目-.Applied.Numerical.Methods.Using.MATLAB.-.Yang.Cao.Chung.and.Morris. text version matlab Canon
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Description: (美)Pratap Misra，(美)Per Enge著 罗鸣，曹冲，肖雄兵译 《全球定位系统 Global positioning system 信号、测量与性能》随书光盘内容（包括MATLAB程序）-(United States) Pratap Misra (United States) Per Enge Luo Ming, Cao Chong, Xiao Xiongbing translation of " Global Positioning System Global positioning system signals, measurement and performance" CD with the book all content (including MATLAB program)
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Author: szy |
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Description: Applied numerical methods using MATLAB
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Author: alonsotunisino |
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Description: Applied Numerical Methods Using MATLAB - Yang Cao Chung and Morris
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Size: 2823168 |
Author: Muhammad Furqan |
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Description: Applied Numerical Methods Using MATLAB - Yang Cao Chung and Morris
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Author: matija |
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Description: documetn for study matlab
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Author: hao |
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Description: Applied Numerical Methods Using MATLAB - Yang Cao Chung and Morris
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Size: 2824192 |
Author: mehdi yahi |
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Description: Applied Numerical Methods Using MATLAB - Yang Cao Chung and Morris
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Size: 2823168 |
Author: mehdi boss |
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Description: a good book help for matlab numeric application
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Size: 2824192 |
Author: adel bouled |
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Description: cao方法求系统的嵌入维数，经测可用，可以为他人研究参考(The Cao method can get the embedding dimension of the system, and it can be used for reference by others.)
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Author: yalingyang |
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Description: 《金融计算与编程--基于MATLAB的应用(金融市场与风险管理系列教材)》由曹志广所著，本书的内容局限于在金融领域中应用MATLAB，因此，本书特别适合在金融领域从事研究的研究人员和在实际金融市场中应用金融理论进行量化投资分析的从业人员，以及有可能从事金融领域研究或应用的金融专业的学生阅读。("Financial Computing and Programming--Application Based on MATLAB (Financial Markets and Risk Management Series)" was written by Cao Zhiguang. The content of this book is limited to the application of MATLAB in the field of finance. Therefore, this book is especially suitable for researchers engaged in the field of Finance and the application of financial theory in the actual financial market for quantitative investment. Read by practitioners of financial analysis, and by students majoring in finance who are likely to engage in research or application in the financial field.)
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Author: jingi1604 |
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