Bedforms are common morphological features in subaqueous and aeolian environments and their characterization is commonly the first step to better understand forcing factors acting in the system. The ...

Consider the situation when we have training data containing many time series having known group membership and testing data with unknown group membership. The goals are to find timescale features ...

K. Nowak, B. Rajagopalan and E. Zagona (2011). “Wavelet Auto-Regressive Method (WARM) for multi-site streamflow simulation of data with non-stationary spectra,” Journal of Hydrology, 410 (1-2) 1–12.