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Information Theory for Non-Stationary Processes with Stationary Increments
We describe how to analyze the wide class of non-stationary processes with stationary centered increments using Shannon information theory. To do so, we use a practical viewpoint and define ersatz quantities from time-averaged probability distributions. These ersatz versions of entropy, mutual infor...
Autores principales: | Granero-Belinchón, Carlos, Roux, Stéphane G., Garnier, Nicolas B. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514568/ http://dx.doi.org/10.3390/e21121223 |
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