Synchronization of Airflows at Varying Heights

Abstract

We propose a method to study the dynamics of energetic events in airflows at different heights. The method is based on a mathematical model for invariant pattern recognition by a visual system, which is combined with a wavelet analysis method. Here we use the first four Krawtchoukfunctions as the mother wavelets. The method allows to determine the time-frequency characteristics of the local impulse components for continuous signals. These extracted impulsecomponents of airflow velocities can be effectively utilized in cross-correlation analysis aimed at identifying potential synchronizations among airflows at different heights.