10.1371/journal.pone.0104663.g005
Chongli Di
Xiaohua Yang
Xiaochao Wang
The denoised series of the six hydrological time series.
2014
Public Library of Science
Computational biology
computational neuroscience
Artificial neural networks
neuroscience
cognitive science
artificial intelligence
hydrology
surface water
Natural resources
water resources
mathematics
Statistics (mathematics)
Statistical methods
forecasting
Time series analysis
Mathematical and statistical techniques
Mathematical functions
Wavelet transforms
Simulation and modeling
mathematical modeling
denoised
hydrological
2014-08-11 02:43:24
article
https://plos.figshare.com/articles/figure/_The_denoised_series_of_the_six_hydrological_time_series_/1134708
<p>This figure gives the denoising result obtained by the EMD-based method (in red color), as a comparison, the denoising result by the wavelet analysis (in blue color) is also given. It shows much better performances of the EMD-based method in denoising.</p>