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Fig. 4.11 Flow chart for wavelet and Monte Carlo-based trend identi cation for hydrological time
series [ 77 , 79 ]
simulation, which is given in Fig. 4.11 . Wavelet threshold de-noising (WTD) is a
powerful tool for de-noising the hydrological data, and is better than traditional
Fourier transform or traditional spectral analysis methods. However, the perfor-
mance depends on the suitability of selected wavelets and decomposition level
choice and threshold estimation in de-noising. The methodology adopted by Sang
et al. [ 78 ] is given in Fig. 4.12 .
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