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

 
 
	 
  
       
       
      