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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...
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| Publié dans: | Entropy (Basel) |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514568/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21121223 |
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