Description: 混沌的G-P算法，利用G-P算法计算混沌时间序列的关联维数-Chaos GP algorithm, the use of GP algorithm for chaotic time series of the correlation dimension Platform: |
Size: 5120 |
Author:华清 |
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Description: 时间序列分析G-P method to calculate the correlation dimension of Matlab (Mex version) not use "temporary separation," use of the correlation integral Mex documents fast-Time Series Analysis GP method to calculate the correlation dimension of Matlab (Mex version) not use Platform: |
Size: 459776 |
Author:djq1djq2 |
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Description: 代码用于估计关联维数。包括G-P算法(corrint.m)，高斯核关联算法(gka.m) 和Judd算法(judd.m)-Correlation dimension estimation code. Algorithms for estimating the correlation dimension using the grassberger-Proccacia approach (corrint.m), the Gaussian-Kernel algorithm (gka.m) and Judd s estimator (judd.m) are provided. Platform: |
Size: 18432 |
Author:彭跃华 |
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Description: C-C算法应用关联积分能够同时估计出时间延迟和嵌入维数，是相空间重构的前提。
本程序通过C-C算法计算duffing方程产生的混沌时间序列的时间延迟和嵌入维数。-CC algorithm is used to simultaneously estimate the correlation integral time delay and embedding dimension, is a prerequisite for phase space reconstruction.
This procedure CC algorithm duffing equation chaotic time series generated by the time delay and embedding dimension. Platform: |
Size: 48128 |
Author: |
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Description: 混沌时间序列 GP算法求关联维的另一种方法-GP algorithm for chaotic time series correlation dimension seek another way Platform: |
Size: 53248 |
Author:wuyong |
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Description: 用于混沌时间序列关联维的计算的相空间重构函数-For the calculation of the correlation dimension of chaotic time series phase space reconstruction function Platform: |
Size: 1024 |
Author:王海峰 |
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Description: 计盒分形维数计算的matlab源代码编程实现过程-Function [Fdgen NoisfreFD ]=fractaldim(y,Q,M)
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Usage: Computes fractal dimension by box counting(BC) method.
NOTE: Running the code may take a little time, because it calculates
dimensions for all embedding dimensions up to M.
This code is based on an algorithm that constructs a box for the first
observation and for other observations test which it belongs to previous
box(s). If the observation belongs to one of the existent boxes then
increases number of points in the relevant box,otherwise makes a new box. the algorithm of this code uses only rounding down and it does not need
binary coding, sorting and so on. It uses only transformation data to [0,2^32-1] and finding valid boxes based on Leibovich and Toth(1989). Inputs: y is a vector time series. q stands for generalized dimension q=1 entropy dimension,q=2 correlation dimension and so on. q=0 is box counting dimen Platform: |
Size: 25600 |
Author:panwangsheng |
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Description: GP方法求解一维时间序列的关联维数，程序简单易懂，可以实现判断一维时间序列是否出现混沌。-GP correlation dimension method for solving one-dimensional time series, simple program to understand and can determine whether the one-dimensional time series appear chaotic. Platform: |
Size: 1024 |
Author:ai |
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Description: 为了提高小波分析方法在混沌去噪中的自适应能力，对不同尺度下的小波信号设定调节因子，根据混沌序列
关联维的大小确定最优阈值。为了提高寻优效率，采用遗传算法全局自适应搜索最优阈值。利用该方法对Lorenz混沌时
间序列进行了去噪分析，结果表明所提方法是非常有效的。-For the purpose of improving adaptive performance of chaotic signals de-noising with wavelet transform，a
floating parameter is set to regulate the threshold of wavelet signal on different scales according to the correlation dimension
of chaotic time series．The genetic algorithm is helpful tO obtain global optimum thresholds and tO reduce much time wasted
by the adaptive searching computation．De-noising for Chaotic time series generated by Lorenz system is simulated to corn—
pare with other methods，and the results showed that the proposed method iS effective Platform: |
Size: 288768 |
Author:张洋 |
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Search - correlation dimension for time series