| Revista: | Quimica nova |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000198266 |
| ISSN: | 0100-4042 |
| Autores: | Galvao, Roberto Kawakami Harrop1 Araujo, Mario Cesar Ugulino de Saldanha, Teresa Cristina Bezerra Visani, Valeria Pimentel, Maria Fernanda |
| Instituciones: | 1Instituto Tecnologico de Aeronautica, Divisao de Engenharia Eletronica, Sao Jose dos Campos, Sao Paulo. Brasil 2Universidade Federal de Pernambuco, Departamento de Engenharia Quimica, Recife, Pernambuco. Brasil 3Universidade Federal da Paraiba, Departamento de Química, Joao Pessoa, Paraiba. Brasil |
| Año: | 2001 |
| Periodo: | Nov-Dic |
| Volumen: | 24 |
| Número: | 6 |
| Paginación: | 874-884 |
| País: | Brasil |
| Idioma: | Portugués |
| Tipo de documento: | Artículo |
| Enfoque: | Teórico, divulgación |
| Resumen en inglés | A comparative study of the Fourier (FT) and the wavelet transforms (WT) for instrumental signal denoising is presented. The basic principles of wavelet theory are described in a succinct and simplified manner. For illustration, FT and WT are used to filter UV-VIS and plasma emission spectra using MATLAB software for computation. Results show that FT and WT filters are comparable when the signal does not display sharp peaks (UV-VIS spectra), but the WT yields a better filtering when the filling factor of the signal is small (plasma spectra), since it causes low peak distortion |
| Disciplinas: | Química, Ingeniería |
| Palabras clave: | Química analítica, Equipo y maquinaria, Transformada de Fourier, Transformada Wavelet, Señales, Señales instrumentales, Ruido |
| Keyword: | Chemistry, Engineering, Analytical chemistry, Equipment and machinery, Fourier transform, Wavelet transform, Signals, Instrumental signals, Noise |
| Texto completo: | Texto completo (Ver HTML) |
