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Исследование метода непараметрических оценок длины периода и периодической составляющей сигнала

Исследование метода непараметрических оценок длины периода и периодической составляющей сигнала

Abstract

Рассматриваются методы выделения скрытой периодической составляющей сигнала. В качестве основного и наиболее подходящего для использования в данной работе был выбран метод непараметрических оценок длины периода и периодических составляющих, так как именно этот метод позволяет выделять скрытые составляющие из любых периодических сигналов, а не только гармонических. Исследование метода проводилось на модельных сигналах, показана зависимость относительной погрешности метода от количества скрытых периодов и шага дискретизации.

Related Organizations
Keywords

статистические оценки, разброс, сигналы, показатели, погрешности, периодическая составляющая, размах

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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
Green