Discrete wavelet‐based trend identification in hydrologic time series

By Yanfang Sang, Zhonggen Wang, Changming Liu. 2013

56 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/b9936af52604655eca43305a015c40a33369bbd2

How researchers see this paper

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

In Environmental Engineering

1. Pinggen Zhou
2. Zhiyong Liu
3. Le Guo
4. Gang Chen

In Global and Planetary Change

1. Pinggen Zhou
2. Zhiyong Liu

In Water Science and Technology

1. Pinggen Zhou
2. Zhiyong Liu
3. Le Guo
4. Gang Chen

Citations in the corpus

• Evaluating a coupled discrete wavelet transform and support vector regression for daily and monthly streamflow forecasting (2014, methodology): “The choice of an appropriate mother wavelet is the foremost task for research related to wavelet analysis (Torrence and Compo, 1998; Sang et al., 2013).”