Carregant...
Carregant...

Vés al contingut (premeu Retorn)

A post non-linear source separation algorithm for bounded magnitude sources and its application to ISFETs

Autor
Bermejo, S.
Tipus d'activitat
Article en revista
Revista
Neurocomputing
Data de publicació
2015-01-19
Volum
148
Pàgina inicial
477
Pàgina final
486
DOI
https://doi.org/10.1016/j.neucom.2014.07.015 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/24213 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0925231214009084 Obrir en finestra nova
Resum
The response of ion-sensitive field-effect transistors (ISFETs) can be seriously affected in mixed-ion solutions by different interfering ions. As has been demonstrated, this problem can be addressed using nonlinear semi-blind source separation (BSS) algorithms based on post non-linear mixtures in which nonlinear transforms must be computed using supervised samples, i.e. calibration points for known concentrations of the main ion. In order to eliminate the cost of collecting such samples, this p...
Citació
Bermejo, S. A post non-linear source separation algorithm for bounded magnitude sources and its application to ISFETs. "Neurocomputing", 19 Gener 2015, vol. 148, p. 477-486.
Paraules clau
Nonlinear Blind Source Separation, Post-nonlinear Mixtures, Independent Component Analysis, Mutual Information, Ion-selective Field-effect Transistors, Smart Sensors

Participants