An intelligent approach for variable size segmentation of non-stationary signals

In numerous signal processing applications, non-stationary signals should be segmented to piece-wise stationary epochs before being further analyzed. In this article, an enhanced segmentation method based on fractal dimension (FD) and evolutionary algorithms (EAs) for non-stationary signals, such as...

Descripción completa

Detalles Bibliográficos
Autores principales: Azami, Hamed, Hassanpour, Hamid, Escudero, Javier, Sanei, Saeid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4563598/
https://www.ncbi.nlm.nih.gov/pubmed/26425359
http://dx.doi.org/10.1016/j.jare.2014.03.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4563598/
https://www.ncbi.nlm.nih.gov/pubmed/26425359
http://dx.doi.org/10.1016/j.jare.2014.03.004

Ejemplares similares