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Approximating General Kernels by Extended Fuzzy Measures: Application to Filtering
Convolution kernels are essential tools in signal processing: they are used to filter noisy signal, interpolate discrete signals, [Formula: see text]. However, in a given application, it is often hard to select an optimal shape of the kernel. This is why, in practice, it may be useful to possess eff...
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| Publicado no: | Information Processing and Management of Uncertainty in Knowledge-Based Systems |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7274772/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50143-3_9 |
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