Using wavelets for data generation

M. Bayazit; H. Aksoy

doi:10.1080/02664760020016073

Using wavelets for data generation

M. Bayazit
, H. Aksoy^*

^*Bu çalışma için yazışmadan sorumlu yazar

İnşaat Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

44 Atıf (Scopus)

Özet

Wavelets are proposed as a non-parametric data generation tool. The idea behind the suggested method is decomposition of data into its details and later reconstruction by summation of the details randomly to generate new data. A Haar wavelet is used because of its simplicity. The method is applied to annual and monthly streamflow series taken from Turkey and USA. It is found to give good results for non-skewed data, as well as in the presence of auto-correlation.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	157-166
Sayfa sayısı	10
Dergi	Journal of Applied Statistics
Hacim	28
Basın numarası	2
DOI'lar	https://doi.org/10.1080/02664760020016073
Yayın durumu	Yayınlandı - 2001

Belgeye Erişim

10.1080/02664760020016073

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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abstract = "Wavelets are proposed as a non-parametric data generation tool. The idea behind the suggested method is decomposition of data into its details and later reconstruction by summation of the details randomly to generate new data. A Haar wavelet is used because of its simplicity. The method is applied to annual and monthly streamflow series taken from Turkey and USA. It is found to give good results for non-skewed data, as well as in the presence of auto-correlation.",

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AB - Wavelets are proposed as a non-parametric data generation tool. The idea behind the suggested method is decomposition of data into its details and later reconstruction by summation of the details randomly to generate new data. A Haar wavelet is used because of its simplicity. The method is applied to annual and monthly streamflow series taken from Turkey and USA. It is found to give good results for non-skewed data, as well as in the presence of auto-correlation.

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DO - 10.1080/02664760020016073

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JF - Journal of Applied Statistics

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Using wavelets for data generation

Özet

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap