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1下载：
计算关联维的 Matlab 程序 - (mex 函数，超快)
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文件夹说明：
1、CorrelationDimension_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、PhaSpaRecon.m - 相空间重构
5、CorrelationDimension.dll - 计算关联积分函数
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假近邻法(False Nearest Neighbor, FNN)计算嵌入维的Matlab程序
文件夹说明：
Main_FNN.m - 程序主函数，直接运行此文件即可
LorenzData.dll - 产生Lorenz时间序列
PhaSpaRecon.m - 相空间重构
fnn_luzhenbo.dll - 假近邻计算主函数
SearchNN.dll - 近邻点搜索
buffer_SearchNN_1.dll - 近邻点搜索缓存1
buffer_Search
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假近邻方法(False Nearest Neighbor,FNN)求混沌时间序列重构嵌入维-false neighbor approach (False Nearest Neighbor, FNN) for chaotic time series embedding dimension Reconstruction
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Determining embedding dimension for phase-space reconstruction using a geometrical construction.
It is very important reference for time forecast in chaos sequence.
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通过matlab实现二维离散小波变换的Mallat快速算法源程序和对二维图像进行多级分解与重建-Matlab achieved by two-dimensional discrete wavelet transform Mallat fast algorithm and multi-dimensional image decomposition and reconstruction
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压缩感知算法中观测矩阵为哈达玛矩阵重构算法为OMP时的测量相对误差与观测矩阵维数的关系-Compressed sensing algorithm for the Hadamard matrix of observation matrix reconstruction algorithms for the OMP and the relative error when measuring the dimension of the relationship between the observed
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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.
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二维离散小波变换，实现一幅图的分解与重构。恢复原图-Two-dimensional discrete wavelet transform, the realization of a diagram of the decomposition and reconstruction. To restore image
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GP算法计算时间序列想空间重构的最佳嵌入维数和延迟时间-GP algorithm space reconstruction time series like the best embedding dimension and delay time
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图像的二维离散小波单尺度和多尺度地分解，读入自己的图像，直接可以轻松运行并查看分解及其图像的重构结果。-Two-dimensional Discrete Wavelet Image single-scale and multi-scale decomposition, reading into its own image, can easily run directly and view the image decomposition and reconstruction of the resu
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本代码给出了图像的二维离散小波变换分解、重构图像以及误差图像。-The code gives the two-dimensional image decomposition of discrete wavelet transform, image reconstruction and the error image.
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混沌时间序列分析中的Ｇ－Ｐ方法，用来计算相空间重构用到的关联维和嵌入维数-Chaotic time series analysis of the G-P method, used to calculate the phase-space reconstruction using the correlation dimension and embedding dimension
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Laplacian Pyramid Toolbox (also available on MATLAB Central): MATLAB source code that implements the Laplacian pyramid (in any dimension) with the new reconstruction method in Framing pyramids.
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对混沌时间序列相空间重构中最佳延迟时间间隔和嵌入维数的选取方法作
了综述,提出了同时考虑这2 个参数选取的重构展开虚假邻点法以及预测误差最小-Of chaotic time series phase space reconstruction of the best delay time interval and the embedding dimension of the selection methods were reviewed and put forward these two pa
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这个对图像用二维离散小波分解及重构出其低频分量，高频中的水平，垂直和对分量。-The two-dimensional discrete wavelet image decomposition and reconstruction out of its low-frequency components, high-frequency in the horizontal, vertical and right components.
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matlab的时间序列分析工具，可以计算最大lyapunov指数、相关维数等，还可以进行相空间重构-matlab time series analysis tools, you can calculate the maximum lyapunov index, correlation dimension, phase space reconstruction can also
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c-c方法计算重构维数m和延迟时间t的matlab的m 文件-cc method reconstruction dimension m and delay time t of the m-file matlab
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混沌时间序列分析的相空间重构和关联维计算-Chaotic time series analysis of phase space reconstruction and correlation dimension
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非线性时间序列分析，相空间重构的参数选择,包括时间序列延迟计算和嵌入维数计算
-Nonlinear time series analysis, parameter selection phase space reconstruction, including time-series delay calculation and embedding dimension calculation
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cao算法，可以确定嵌入维数，从而实现相空间重构-Cao algorithm, embedding dimension of time series can be determined, so as to realize the phase space reconstruction
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