2000
DOI: 10.1007/s001900050283
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Improvement of edge effect of the wavelet time-frequency spectrum: application to the length-of-day series

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Cited by 32 publications
(15 citation statements)
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“…The technique of time-frequency wavelet transform has been applied to address different issues in Earth sciences (e.g. Morlet et al, 1982;Chao and Naito, 1995;Lau and Weng, 1995;Torrence and Compo, 1998;Zheng et al, 2000). In the method of Morlet, the wavelet transform of a time series f (t) is defined as:…”
Section: Frequency Characteristics Of Temperature Variationsmentioning
confidence: 99%
“…The technique of time-frequency wavelet transform has been applied to address different issues in Earth sciences (e.g. Morlet et al, 1982;Chao and Naito, 1995;Lau and Weng, 1995;Torrence and Compo, 1998;Zheng et al, 2000). In the method of Morlet, the wavelet transform of a time series f (t) is defined as:…”
Section: Frequency Characteristics Of Temperature Variationsmentioning
confidence: 99%
“…As has been pointed out in this paper, there is evidence to suggest that not only the frequency of loss events caused by TCs in the WNP but also the (normalised) property losses resulting from landfalling TCs are modulated by low-frequency climate variations in the Northwest Pacific region. Zheng et al (2000) present an interesting approach to reducing edge effects in the wavelet time-frequency spectrum by using a numerical method prior to the wavelet transform to extend the time series on both ends (see their paper for details). This could enhance their ability to reveal lowfrequency signals in the time series.…”
Section: Discussionmentioning
confidence: 99%
“…The leap-step time series analysis (LSTSA) model developed by Zheng et al (2000) is applied to reduce the edge effects in the MSF and wavelet analysis.…”
Section: Methods Of Analysismentioning
confidence: 99%