Improved Frequency-Selective Filters
Copyright policy ) Stephen Pollock;
Improved Frequency-Selective Filters
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- University of London United Kingdom
- Queen Mary University of London United Kingdom
trend estimation, frequency-domain analysis, linear filtering, filter design, signal extraction, Signal extraction, Linear filtering, Filter design, Trend estimation, Frequency-domain analysis, Inference from stochastic processes and prediction, jel: jel:C22
trend estimation, frequency-domain analysis, linear filtering, filter design, signal extraction, Signal extraction, Linear filtering, Filter design, Trend estimation, Frequency-domain analysis, Inference from stochastic processes and prediction, jel: jel:C22
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).12 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 12
Average
Top 10%
Average
bronze
Beta
Fields of Science