Modification of the Grassberger-Procaccia algorithm for estimating the correlation exponent of chaotic systems with high embedding dimension

Autor:	Jan Klaschka, Ivan Dvořák
Rok vydání:	1990
Předmět:	Physics Correlation dimension Noise (signal processing) General Physics and Astronomy Nonlinear Sciences::Chaotic Dynamics Correlation Bruit Dimension (vector space) Attractor medicine Exponent Embedding medicine.symptom Algorithm
Zdroj:	Physics Letters A. 145:225-231
ISSN:	0375-9601
DOI:	10.1016/0375-9601(90)90355-r
Popis:	The Grassberger-Procaccia algorithm for estimating the correlation exponent yields estimates biased by systematic errors pronounced mainly for embedding dimension higher than 5. A modification of this algorithm is proposed that removes a part of the bias up to embedding dimension 11.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d9a0763bfb0d8c9314008202d64bc83b https://doi.org/10.1016/0375-9601(90)90355-r Zobrazit plný text záznamu