Open AccessThe largest Lyapunov prediction method for the end issue of empirical mode decomposition
Author(s) -
Yongfeng Yang,
Wu Ya-Feng,
Ren Xing-Min,
Weiyang Qin,
Zhi Xi-zhe,
Qiu Sheng Yan
Publication year - 2009
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.58.3742
Subject(s) - computer science , lyapunov function , hilbert–huang transform , mode (computer interface) , extension (predicate logic) , swing , series (stratigraphy) , decomposition , mathematics , control theory (sociology) , mathematical optimization , nonlinear system , artificial intelligence , telecommunications , physics , control (management) , white noise , quantum mechanics , operating system , paleontology , ecology , acoustics , biology , programming language
The largest Lyapunov prediction method for dealing with the end issue of empirical mode decomposition EMD is proposed. Generallythe largest Lyapunov prediction method extends the time series near both ends of the data. After the extensionthe spline does not swing at both ends of the data. Because the intrinsic characteristics of the signal are considered, the end issue becomes more reasonable. The simulation results proved that the new method can be used to solve the end issue effectively.