Using wavelets for data generation

By M. Bayazit, H. Aksoy. 2001

46 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Global and Planetary Change, Signal Processing

View Paper: https://www.semanticscholar.org/paper/024053356837b3fafdae22cb6bf1809ca058353d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Wensheng Wang
2. Shi Hu
3. Yueqing Li
4. N. Ünal
5. T. Akar
6. H. Aksoy

In Global and Planetary Change

1. Wensheng Wang
2. Shi Hu
3. Yueqing Li
4. N. Ünal
5. T. Akar
6. H. Aksoy

In Signal Processing

1. N. Ünal
2. Wensheng Wang
3. Shi Hu
4. Yueqing Li
5. T. Akar
6. H. Aksoy

Citations in the corpus

• Annual and monthly rainfall data generation schemes (2004, methodology): “Results of this study are in agreement with those of earlier studies ( Bayazit and Aksoy 2001; Bayazit et al. 2001; Aksoy 2001; Aksoy et al. 2004) where wavelet was employed as a hydrological data generation mechanism.”
• Wavelet Transform Method for Synthetic Generation of Daily Streamflow (2011, methodology): “The wavelet analysis has been widely utilized in hydrology (Kumar and Foufoula-Georgiou 1993; Smith et al. 1998 ;L i et al. 1999; Labat et al. 2000; Bayazit and Aksoy 2001; Wang and Ding 2003 ;U nal et al. 2004; Anctil and Coulibaly 2004 ;W ang et al.2005, 2009).”