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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Microprocessors and ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Microprocessors and Microsystems
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
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Area-efficient high-coverage LBIST

Authors: Nan Li 0018; Elena Dubrova;

Area-efficient high-coverage LBIST

Abstract

Logic Built-In Self Test (LBIST) is a popular technique for applications requiring in-field testing of digital circuits. LBIST incorporates test generation and response-capture on-chip. It requires no interaction with a large, expensive tester. LBIST offers test time reduction due to at-speed test pattern application, makes possible test data re-usability at many levels, and enables test-ready IP. However, the traditional pseudo-random pattern-based LBIST often has a low test coverage. This paper presents a new method for on-chip generation of deterministic test patterns based on registers with non-linear update. Our experimental results on 7 real designs show that the presented approach can achieve a higher stuck-at coverage than the test point insertion with less area overhead. We also show that registers with non-linear update are asymptotically smaller than memories required to store the same test patterns in a compressed form.

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
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