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mutual_information
- 在相空间重构中，用互信息法求最小关联嵌入维-In phase space reconstruction, the use of mutual information method associated minimum embedding dimension
lle
- 局部线性嵌入法，用于数据降维 .lle.m -- A simple matlab routine to perform LLE. .scurve.m -- Code to run the "s-curve" example. .swissroll.m -- Code to run the "swiss roll" example. -Locally Linear Embedding method for data
Wavelet2D
- 信息隐藏 给予二维离散小波变换的图象水印嵌入-Information Hiding given two-dimensional discrete wavelet transform image watermark embedding
NeighborPreservEmbedd
- 一种邻域保护嵌入算法，用于高维数据的降维处理-The protection of a neighborhood algorithm for high dimensional data, dimensionality reduction to deal with
ChaosToolbVer.2.0
- 混沌工具箱 C-C方法计算时间延迟和嵌入维数 混沌时间序列预测-Chaos Toolbox CC method to calculate time delay and embedding dimension of chaotic time series prediction
Rossler_Cao
- 基于CAO方法的ROSSLER方程的嵌入维数选取-CAO method based on equation ROSSLER select the embedding dimension
DEMopengglvc
- 用vc++嵌入opengl组件实现三维显示和一般分析功能！-Vc++ with opengl embedded components to achieve three-dimensional display and analysis functions in general!
CCmethod2
- 应用改进的CC法求取时间延迟和嵌入维数，效果不错-The modified CC method to strike a time delay and embedding dimension, good results
choas
- 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 reviewe
fractaldimensionofchaosattractor
- 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,
Cao
- 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
lu
- 在用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择-In chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input, the program implemented with matla
chaotictimeseriesanalysisandprediction
- 混沌分析：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提供帮助-chaos analysis
22
- 关于相空间重构中参数延迟时间和嵌入维数选择的一种方法的研究-Phase space reconstruction parameters on the delay time and embedding dimension of a method of choice
1
- 相空间重构是非线性动力学研究的第一步，相空间重构最重要的是参数嵌入维数和延迟时间的选择-Phase space reconstruction is the first step in nonlinear dynamics, phase space reconstruction is the most important parameters of embedding dimension and delay time select
2
- 相空间重构中嵌入维数和延迟时间的选择关系到非线性时间序列重构的质量，介绍了小波变换方法确定重构中的两个参数-Reconstruction of phase space embedding dimension and delay time related to the choice of the quality of reconstruction of nonlinear time series, introduces the wavel
chaos
- 关于求混沌嵌入维的程序，matlab上运行-Embedding dimension of chaotic process
High-embedded-chaos-load-series
- 高嵌入维混沌负荷序列预测方法研究 对混沌理论的又一次研究-High load embedded chaotic series prediction
embed
- 基于几何特征的三维模型数字水印算法研究 水印嵌入代码-Three-dimensional model based on geometric features of watermarking digital watermarking algorithm embed code
program
- 相空间重构参数选择 延迟时间和嵌入维数-Phase space reconstruction parameters delay time and embedding dimension