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https://doi.org/10.1109/sips.2...
Article . 2017 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2017
Data sources: DBLP
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Hardware error correction using local syndromes

Authors: Mohamed Mourad Hafidhi; Emmanuel Boutillon;

Hardware error correction using local syndromes

Abstract

Increasing the integration density offers the possibility for designers to built very complex system on a single chip. However, approaching the limits of integration, circuit reliability has emerged as a critical concern. The loss of reliability increases with process/voltage and temperature (PVT) variations. Faults can appear in circuits which can affect the system behaviour and lead to a system failure. Therefore it is increasingly important to build more fault tolerant resilient system. This paper 1 proposes a new fault tolerant scheme, the Duplication with Syndrome based Correction (DSC) scheme. Two criteria were considered to evaluate the proposed scheme: the reliability (probability that no error appears in the output of the architecture) and the hardware efficiency of the architecture. Results show that the DSC scheme reduces the complexity by 32%, compared to the classical Triple Modular Redundancy (TMR) scheme, while maintaining a level of reliability closed to the TMR. The paper shows also an example of signal processing applications where the DSC has been used to protect the correlation function and filters inside the tracking loops of the Global Positioning System (GPS) receiver.

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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!
0
Average
Average
Average