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Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques
The establishment and improvement of transmission systems rely on models that take into account, (among other factors), the geographical features of the region, as these can lead to signal degradation. This is particularly important in Brazil, where there is a great diversity of scenery and climates...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5875778/ https://ncbi.nlm.nih.gov/pubmed/29596503 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0194511 |
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