Support vector robust algorithms for non-parametric spectral analysis
Abstract:
A new approach to the non-parametric spectral estimation on the basis of the Support Vector (SV) framework is presented. Two algorithms are derived for both uniform and non-uniform sampling. The relationship between the SV free parameters and the underlying process statistics is discussed. The application in two real data examples, the sunspot numbers and the Heart Rate Variability, shows the higher resolution and robustness in SV spectral analysis algorithms © Springer-Verlag Berlin Heidelberg 2002.
Año de publicación:
2002
Keywords:
Fuente:
scopusTipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Aprendizaje automático
- Optimización matemática
Áreas temáticas:
- Métodos informáticos especiales
