中国科学D辑(英文版)
中國科學D輯(英文版)
중국과학D집(영문판)
SCIENCE IN CHINA（SCIENTIA SINICA）
2001年
6期
490-497
,共8页
reconstructed phase space%conditional probability density%normalization
A new method is proposed to inverse normalization data of hidden variables in a dynamical system by embedding a time series in multidimensional spaces and applying a normalization analysis to the conditional probability density of points in the reconstructed phase spaces. The method is robust in the application to Lorenz system and 4-dimensional R?ssler system by testing quantitatively and qualitatively the correlation coefficient between inverse data and original data in time domain and in frequency domain, respectively. By applying the method to analyzing the South China Sea data, the normalization data of wind speed is extracted from the sea surface temperatu-re time series.
