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Title: 風速変動のウェイブレット解析
Authors: 山田, 道夫  kyouindb  KAKEN_id
樋口, 宗彦  KAKEN_name
林, 泰一  KAKEN_name
光田, 寧  KAKEN_name
Author's alias: YAMADA, Michio
HIGUCHI, Munehiko
HAYASHI, Taiichi
MITSUTA, Yasushi
Issue Date: 1-Apr-1990
Publisher: 京都大学防災研究所
Journal title: 京都大学防災研究所年報. B = Disaster Prevention Research Institute Annuals. B
Volume: 33
Issue: B-1
Start page: 285
End page: 295
Abstract: Wavelet analysis is a method of time series analysis based on an expansion in terms of tem-porally localized functions. The basis functions are called wavelets, and are constructed bytranslation and dilation of a single localized function called analyzing wavelet. The waveletshave two parameters; one specifies the time scale of variation and the other the time of events.The wavelet spectrum is directly related to the Fourier spectrum and enables us to analyze arelation between the characteristics of Fourier spectrum and temporally local events in the timeseries. Here the wavelet analysis is applied to atmospheric wind data and the power low of theFourier spectrum is discussed in relation to mean wind speed and environmental terrain.
Appears in Collections:No.33 B-1

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