کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1899092 | 1044834 | 2006 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Influence of noise on the averaged false neighbors method for analyzing time series
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Influence of noise on the averaged false neighbors method for analyzing time series Influence of noise on the averaged false neighbors method for analyzing time series](/preview/png/1899092.png)
چکیده انگلیسی
This paper deals with the influence of noise on the averaged false neighbors method (AFN) proposed by L. Cao for analyzing time series and describing the dynamical properties of their underlying process. First, we give a theoretical justification of the AFN method results for a pure random time series (white gaussian noise). Then we present some numerical experiments corresponding to different known chaotic processes corrupted by noise. Simulations on real measured data are also presented. Eventually, after discussing these simulations, we are led to state some practical results on the critical noise level not to be exceeded for getting usable results of the AFN algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica D: Nonlinear Phenomena - Volume 223, Issue 2, 15 November 2006, Pages 229–241
Journal: Physica D: Nonlinear Phenomena - Volume 223, Issue 2, 15 November 2006, Pages 229–241
نویسندگان
Sofiane Ramdani, Jean-François Casties, Frédéric Bouchara, Denis Mottet,