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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274772/ http://dx.doi.org/10.1007/978-3-030-50143-3_9 |