Trajectory analysis through entropy characterization over coded representation

Fuente: arXiv
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Main Authors: Peña-Mendieta, Roxana, Mesa-Rodríguez, Ania, Estevez-Rams, Ernesto, Estevez-Moya, Daniel, Kunka, Danays
Format: Preprint
Published: 2024
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author Peña-Mendieta, Roxana
Mesa-Rodríguez, Ania
Estevez-Rams, Ernesto
Estevez-Moya, Daniel
Kunka, Danays
author_facet Peña-Mendieta, Roxana
Mesa-Rodríguez, Ania
Estevez-Rams, Ernesto
Estevez-Moya, Daniel
Kunka, Danays
contents Any continuous curve in a higher dimensional space can be considered a trajectory that can be parameterized by a single variable, usually taken as time. It is well known that a continuous curve can have a fractional dimensionality, which can be estimated using already standard algorithms. However, characterizing a trajectory from an entropic perspective is far less developed. The search for such characterization leads us to use chain coding to discretize the description of a curve. Calculating the entropy density and entropy-related magnitudes from the resulting finite alphabet code becomes straightforward. In such a way, the entropy of a trajectory can be defined and used as an effective tool to assert creativity and pattern formation from a Shannon perspective. Applying the procedure to actual experimental physiological data and modelled trajectories of astronomical dynamics proved the robustness of the entropic characterization in a wealth of trajectories of different origins and the insight that can be gained from its use.
format Preprint
id arxiv_https___arxiv_org_abs_2405_03693
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Trajectory analysis through entropy characterization over coded representation
Peña-Mendieta, Roxana
Mesa-Rodríguez, Ania
Estevez-Rams, Ernesto
Estevez-Moya, Daniel
Kunka, Danays
Data Analysis, Statistics and Probability
Information Theory
Any continuous curve in a higher dimensional space can be considered a trajectory that can be parameterized by a single variable, usually taken as time. It is well known that a continuous curve can have a fractional dimensionality, which can be estimated using already standard algorithms. However, characterizing a trajectory from an entropic perspective is far less developed. The search for such characterization leads us to use chain coding to discretize the description of a curve. Calculating the entropy density and entropy-related magnitudes from the resulting finite alphabet code becomes straightforward. In such a way, the entropy of a trajectory can be defined and used as an effective tool to assert creativity and pattern formation from a Shannon perspective. Applying the procedure to actual experimental physiological data and modelled trajectories of astronomical dynamics proved the robustness of the entropic characterization in a wealth of trajectories of different origins and the insight that can be gained from its use.
title Trajectory analysis through entropy characterization over coded representation
topic Data Analysis, Statistics and Probability
Information Theory
url https://arxiv.org/abs/2405.03693