Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/83216
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Blind adaptive estimation of integral nonlinear errors in ADCs using arbitrary input stimulus |
Autor: | Ginés, Antonio J. CSIC ORCID; Peralías, E. CSIC ORCID ; Rueda, Adoración CSIC ORCID | Fecha de publicación: | feb-2011 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | IEEE Transactions on Instrumentation and Measurement 60(2): 452-461 (2011) | Resumen: | An adaptive digital test procedure for the static characterization of analog-to-digital converters (ADCs) is described in this paper. The proposed technique performs a blind and accurate estimation of the integral nonlinearity (INL) of the ADC under test (ADCUT) without requiring any particular test stimulus. Its practical implementation implies no modifications on the ADCUT analog section and needs a very simple low-cost digital logic, which makes this useful for: 1) simple digital automatic test equipment (ATE)-based ADC static test and 2) built-in self-test (BIST) for ADCs test working either in concurrent (online) or nonconcurrent (offline) modes. The validation of these test methods has been performed through realistic behavioral simulations including noise, mismatch, and nonlinear errors. Experimental results for a custom-designed pipeline ADC and for the commercial AD664 chip are also reported. | Versión del editor: | http://dx.doi.org/10.1109/TIM.2010.2051062 | URI: | http://hdl.handle.net/10261/83216 | DOI: | 10.1109/TIM.2010.2051062 | ISSN: | 0018-9456 |
Aparece en las colecciones: | (IMSE-CNM) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 15,38 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
13
checked on 14-mar-2024
WEB OF SCIENCETM
Citations
12
checked on 26-feb-2024
Page view(s)
330
checked on 27-mar-2024
Download(s)
119
checked on 27-mar-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.