Energy-preserving windows for non-stationary filtering

Jan Rubak and Michael P. Lamoureux


We demonstrate the construction of window functions for processing time-variant signals such as seismic data logs, which preserve both local amplitudes and local energies. This is a key step in nonstationary filtering that allows the localization of signals without introducing spurious energy artifacts.

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