ANALYSIS OF THE TIME SERIES ON THE VALUE SUBFIELD OF CHAOTIC SIGNALS
Author(s) -
Yuan Jian,
XIAO XIAN-CI
Publication year - 1997
Publication title -
acta physica sinica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.46.1300
Subject(s) - lyapunov exponent , series (stratigraphy) , chaotic , value (mathematics) , time series , field (mathematics) , mathematics , statistical physics , computer science , physics , statistics , pure mathematics , artificial intelligence , paleontology , biology
Generally,dynamical analysis is just for the time series on the whole of value field.The time series on a value subfield is a subseries of the one on the whole of value field,and appears to be sampled nonuniformly in time.In this paper,by using the method of fuzzy delay coordinate reconstruction,we study the correlation dimensions,the largest Lyapunov exponents and the prediction of the time series on the value subfield of Kent-map. It is shown that the subseries behaves like some other chaotic time series,and the smaller the value subfield is, the larger the correlation dimensions and the largest the Lyapunov exponents are,and thus the poorer the characterization of prediction is.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom