Fuzzy logic for seismic waves separation

This work addresses the problem of signal separation for 2 -Dimensional spaces. Instead of resorting to statistical properties of the signals, this work treats the problem as one of image segmentation. Variants of known fuzzy classifiers are studied and compared with existing techniques, as the Unsupervised Maximum Likelihood (MLU) classifier or the watershed technique. The goal is the separation of seismic waves collected from experimental data.