Uma ferramenta para Análise Multiresolução de dados não regularmente amostrados
Digital signal processing (DSP) aims to extract specific information from digital signals. Digital signals are, by definition, physical quantities represented by a sequence of discrete values and from these sequences it is possible to extract and analyze the desired information. The unevenly sampled...
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| Formato: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | Brasil |
| Recursos: | Universidade Federal do Rio Grande do Norte (UFRN) |
| Repositorio: | Repositório Institucional da UFRN |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.ufrn.br:123456789/15420 |
| Acesso em linha: | https://repositorio.ufrn.br/jspui/handle/123456789/15420 |
| Access Level: | acceso abierto |
| Palavra-chave: | Wavelet Lomb-Scargle Dados não regularmente amostrados Análise espectral Análise multiresolução CoRoT Unevenly sampled data Spectral analysis Multiresolution analysis CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
| Resumo: | Digital signal processing (DSP) aims to extract specific information from digital signals. Digital signals are, by definition, physical quantities represented by a sequence of discrete values and from these sequences it is possible to extract and analyze the desired information. The unevenly sampled data can not be properly analyzed using standard techniques of digital signal processing. This work aimed to adapt a technique of DSP, the multiresolution analysis, to analyze unevenly smapled data, to aid the studies in the CoRoT laboratory at UFRN. The process is based on re-indexing the wavelet transform to handle unevenly sampled data properly. The was efective presenting satisfactory results |
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