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Electronics Letters
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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https://dx.doi.org/10.48550/ar...
Article . 2020
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2020
Data sources: DBLP
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Low‐complexity architecture for AR(1) inference

Authors: A. Borges Jr.; Renato J. Cintra; Diego F. G. Coelho; Vassil S. Dimitrov;

Low‐complexity architecture for AR(1) inference

Abstract

In this Letter, the authors propose a low‐complexity estimator for the correlation coefficient based on the signed process. The introduced approximation is suitable for implementation in low‐power hardware architectures. Monte Carlo simulations reveal that the proposed estimator performs comparably to the competing methods in the literature with maximum error in order of . However, the hardware implementation of the introduced method presents considerable advantages in several relevant metrics, offering more than 95% reduction in dynamic power and doubling the maximum operating frequency when compared to the reference method.

Keywords

Signal Processing (eess.SP), Methodology (stat.ME), FOS: Computer and information sciences, Hardware Architecture (cs.AR), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Computer Science - Hardware Architecture, Statistics - Computation, Statistics - Methodology, Computation (stat.CO)

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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
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gold