A new method to detect hidden frequencies in chaotic time series
We introduce a procedure to obtain the whole spectrum of frequencies in a dynamical system by using only one variable. By embedding the data in multidimensional spaces, and recording the density of points that the trajectory encounters as it evolves, it is possible, through a spectral analysis over...
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1995
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03759601_v209_n5-6_p351_Ortega http://hdl.handle.net/20.500.12110/paper_03759601_v209_n5-6_p351_Ortega |
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paper:paper_03759601_v209_n5-6_p351_Ortega2023-06-08T15:38:33Z A new method to detect hidden frequencies in chaotic time series Ortega, Guillermo Jose Embedding Fourier transform Frequencies Invariant measure Time-series We introduce a procedure to obtain the whole spectrum of frequencies in a dynamical system by using only one variable. By embedding the data in multidimensional spaces, and recording the density of points that the trajectory encounters as it evolves, it is possible, through a spectral analysis over this density time series, to determine the real frequencies of the system hidden in the chosen variable. © 1995. Fil:Ortega, G.J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 1995 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03759601_v209_n5-6_p351_Ortega http://hdl.handle.net/20.500.12110/paper_03759601_v209_n5-6_p351_Ortega |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Embedding Fourier transform Frequencies Invariant measure Time-series |
spellingShingle |
Embedding Fourier transform Frequencies Invariant measure Time-series Ortega, Guillermo Jose A new method to detect hidden frequencies in chaotic time series |
topic_facet |
Embedding Fourier transform Frequencies Invariant measure Time-series |
description |
We introduce a procedure to obtain the whole spectrum of frequencies in a dynamical system by using only one variable. By embedding the data in multidimensional spaces, and recording the density of points that the trajectory encounters as it evolves, it is possible, through a spectral analysis over this density time series, to determine the real frequencies of the system hidden in the chosen variable. © 1995. |
author |
Ortega, Guillermo Jose |
author_facet |
Ortega, Guillermo Jose |
author_sort |
Ortega, Guillermo Jose |
title |
A new method to detect hidden frequencies in chaotic time series |
title_short |
A new method to detect hidden frequencies in chaotic time series |
title_full |
A new method to detect hidden frequencies in chaotic time series |
title_fullStr |
A new method to detect hidden frequencies in chaotic time series |
title_full_unstemmed |
A new method to detect hidden frequencies in chaotic time series |
title_sort |
new method to detect hidden frequencies in chaotic time series |
publishDate |
1995 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03759601_v209_n5-6_p351_Ortega http://hdl.handle.net/20.500.12110/paper_03759601_v209_n5-6_p351_Ortega |
work_keys_str_mv |
AT ortegaguillermojose anewmethodtodetecthiddenfrequenciesinchaotictimeseries AT ortegaguillermojose newmethodtodetecthiddenfrequenciesinchaotictimeseries |
_version_ |
1768545191688404992 |