Improving Hydrological Process Modeling Using Optimized Threshold-Based Wavelet De-Noising Technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-016-1246-5.pdf
Reference29 articles.
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3. Addison PS, Murrary KB, Watson JN (2001) Wavelet transform analysis of open channel wake flows. J Eng Mech 127(1):58–70
4. Asadi S, Shahrabi J, Abbaszadeh P, Tabanmehr S (2013) A new hybrid neural network for rainfall-runoff process modeling. Neurocomputing 121:470–480. doi: 10.1016/j.neucom.2013.05.023
5. Chou CM (2011) A threshold based wavelet denoising method for hydrological data modelling. Water Resour Manag 25:1809–1830. doi: 10.1007/s11269-011-9776-3
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