Benbrahim, M.Benjelloun, K.Ibenbrahim, A.Kasmi, M.Ardil, E.2024-06-122024-06-1220071307-6884https://hdl.handle.net/20.500.14551/23760Conference of the World-Academy-of-Science-Engineering-and-Technology -- JAN 29-31, 2007 -- Bangkok, THAILANDThe automatic discrimination of seismic signals is an important practical goal for the earth-science observatories due to the large amount of information that they receive continuously. An essential discrimination task is to allocate the incoming signal to a group associated with the kind of physical phenomena producing it. In this paper, we present new techniques for seismic signals classification: local, regional and global discrimination. These techniques were tested on seismic signals from the data base of the National Geophysical Institute of the Centre National pour la Recherche Scientifique et Technique (Morocco) by using the Moroccan software for seismic signals analysis.eninfo:eu-repo/semantics/closedAccessSeismic SignalsLocal DiscriminationRegional DiscriminationGlobal DiscriminationMoroccan Software For Seismic Signals Analysis2-Dimensional PcaConference Object19183+N/AWOS:000260422800034