| Texto completo | |
| Autor(es): |
Guido, Rodrigo Capobianco
Número total de Autores: 1
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| Tipo de documento: | Artigo Científico |
| Fonte: | COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION; v. 97, p. 12-pg., 2021-02-04. |
| Resumo | |
This article introduces the third generation of an interesting tool created for time frequency-shape (TFS) joint analysis. Called Discrete Shapelet Transform (DST-III), it improves both its predecessors, i.e., DST-I and DST-II, in such a way that nearly symmetric major shapelet functions, and consequently almost linear-phase filterbanks, are obtained. Following a brief review on important concepts, the DST-III formulation is specified in detail and complemented with a numerical example. In addition, a prototype pattern matching strategy, where a comparison with ordinary wavelets takes place, and a spike sorting application are also presented and discussed. Notably, wavelet expansions use to provide very concise signal representations, thus simplifying subsequent nonlinear signal analysis in both time and frequency and, consequently, bringing advantages for non-stationary problem solving in science and engineering. This reassures the efficacy of this new tool. (c) 2020 Elsevier B.V. All rights reserved. (AU) | |
| Processo FAPESP: | 19/04475-0 - Análise Paraconsistente de Características dos Sinais de Fala: combatendo os ataques de voice spoofing |
| Beneficiário: | Rodrigo Capobianco Guido |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |