Dynamic Characterization of non-Sationary Signals Using Entropy-based Relevance Analysis
Nowadays deal with data of high dimension, that contain complex signals whose information can be contaminated noise, redundancy or irrelevant information can be a recurring problem in processes such as EEG signals or signs of vibrations produced by machines rotating basis. In order to solve this pro...
- Autores:
-
López Montes, Juan Camilo
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/76806
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/76806
http://bdigital.unal.edu.co/73604/
- Palabra clave:
- Electroencephalogram
Brain-Computer Interface
Permutation Entropy
Renyi Entropy
Health index
Rolling element bearing
Jensen divergence
Interfaz cerebro máquina
Permutation Entropy
Entropia de Renyi
Indice de Salud
Rodamientos
Divergencia de Jensen)
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional