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Attenuation Estimation From Correlated Sequences

Authors: Tarek Medkour; Andrew T. Walden;

Attenuation Estimation From Correlated Sequences

Abstract

We calculate the frequency-dependent variance of the log spectral ratio for correlated time series. This is used to produce a weighted least-squares approach to attenuation estimation, with weights calculated from estimated coherence. Applications to synthetic and real data illustrate that, for correlated series, the method improves significantly on traditional unweighted least-squares attenuation estimates

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    influence
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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!
4
Average
Average
Average
Green
hybrid