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Combining Measures of Signal Complexity and Machine Learning for Time Series Analyis: A Review
Measures of signal complexity, such as the Hurst exponent, the fractal dimension, and the Spectrum of Lyapunov exponents, are used in time series analysis to give estimates on persistency, anti-persistency, fluctuations and predictability of the data under study. They have proven beneficial when doi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700684/ https://www.ncbi.nlm.nih.gov/pubmed/34945978 http://dx.doi.org/10.3390/e23121672 |