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Частотно-временные преобразования, используемые в цифровой обработке сигналов

Частотно-временные преобразования, используемые в цифровой обработке сигналов

Abstract

The comparative analysis of the time-and-frequency transformations used for digital processing of signals such as continuous Fourier transformation, Wavelet transformation and Gilbert Huang transformation is presented in article.

В статье представлен сравнительный анализ частотно-временных преобразований, используемых для цифровой обработки сигналов, таких как непрерывное преобразование Фурье, Вейвлет-преобразование и преобразование Гилберта-Хуанга

Keywords

ЧАСТОТНО-ВРЕМЕННЫЕ ПРЕОБРАЗОВАНИЯ,ПРЕОБРАЗОВАНИЕ ФУРЬЕ,FOURIER TRANSFORMATION,ВЕЙВЛЕТ-ПРЕОБРАЗОВАНИЕ И ПРЕОБРАЗОВАНИЕ ГИЛБЕРТА-ХУАНГА,WAVELET TRANSFORMATION AND GILBERT-HUANG TRANSFORMATION,TIME-AND-FREQUENCY TRANSFORMATIONS

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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