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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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| Pubblicato in: | Entropy (Basel) |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514568/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21121223 |
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