理解复杂世界
Making Sense of a Complex World
混沌背景中的信号检测
Detection of Signals in Chaos
Wolf方法求混沌时间序列的最大Lyapunov指数
Determining Lyapunov Exponents from a Time Series
小数据量方法求混沌时间序列的最大Lyapunov指数
A practical method for calculating largest Lyapunov exponents from small data sets
BBA算法计算混沌时间序列的Lyapunov指数谱
Computing the Lyapunov Spectrum of a Dynamical System from Observed Time Series
GP算法计算混沌时间序列的Kolmogorov熵
从混沌时间序列同时计算关联维和Kolmogorov熵
最大似然算法计算混沌时间序列的Kolmogorov熵
Maximun-likelihood Estimation of the Entropy of an Attractor
最大似然算法计算混沌时间序列的关联维
Estimation of Dimension of a Noisy Attractor
假近邻方法(False Nearest Neighbor,FNN)求混沌时间序列重构嵌入维 Determining embedding dimension for phase-space reconstruction using a geometrical construction
Cao方法求混沌时间序列重构嵌入维
Practical method for determining the minimum embedding dimension of a scalar time series
CC方法求混沌时间序列重构时延与嵌入窗
Nonlinear dynamics, delay times, and embedding windows
时间窗法求混沌时间序列重构参数
State space reconstruction parameters in the analysis of chaotic time series - the role of the time window length
非线性时间序列分析方法的应用
Interdisciplinary application of nonlinear time series methods
非线性时间序列分析
Nonlinear time series analysis
船舶辐射噪声的混沌现象研究
Researches on choatic Phenomena of noises of radiated from ships
水中混响的混沌属性分析
Chaos characteristic analysis of underwater reverberation
混沌时间序列的Volterra自适应预测
Predicting low-dimensional chaotic time series using volterra adaptive filters
观测混沌数据分析
Analysis of observed chaotic data