Gabor feature vectors to detect changes amongst time series: A geoacoustic example

We use the Matching Pursuit algorithm to decompose Green´s functions of varying systems. Feature vectors representing the Green´s functions are constructed from the pursuit approximation. Increasing distances among these vectors are related to changing parameters in the systems. The quality of the entries of the feature vectors is discussed and the distances between these vectors are measured following an adaptive approach. Results of the method are illustrated using a geophysical example.