Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/60026
Share/Export:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invite to open peer review
Title

Low-cost digital detection of parametric faults in cascaded ΣΔ modulators

AuthorsLeger, Gildas CSIC ORCID ; Rueda, Adoración CSIC ORCID
KeywordsΣΔ modulation
Design for testability
Issue Date2009
PublisherInstitute of Electrical and Electronics Engineers
CitationIEEE Transactions on Circuits and Systems I: Regular Papers 56(7): 1326-1338 (2009)
AbstractThe test of SigmaDelta modulators is cumbersome due to the high performance that they reach. Moreover, technology scaling trends raise serious doubts on the intradie repeatability of devices. An increase of variability will lead to an increase in parametric faults that are difficult to detect. In this paper, a design-oriented testing approach is proposed to perform a simple and low-cost detection of variations in important design variables of cascaded SigmaDelta modulators. The digital tests could be integrated in a production test flow to improve fault coverage and bring data for silicon debug. A study is presented to tailor signature generation, with test-time minimization in mind, as a function of the desired measurement precision. The developments are supported by experimental results that validate the proposal.
Publisher version (URL)http://dx.doi.org/10.1109/TCSI.2008.2006648
URIhttp://hdl.handle.net/10261/60026
DOI10.1109/TCSI.2008.2006648
ISSN1549-8328
Appears in Collections:(IMSE-CNM) Artículos




Files in This Item:
File Description SizeFormat
Low-cost digital.pdf844,37 kBAdobe PDFThumbnail
View/Open
Show full item record

CORE Recommender

SCOPUSTM   
Citations

17
checked on Apr 22, 2024

WEB OF SCIENCETM
Citations

14
checked on Feb 24, 2024

Page view(s)

290
checked on Apr 24, 2024

Download(s)

338
checked on Apr 24, 2024

Google ScholarTM

Check

Altmetric

Altmetric


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.