Abstract
Abstract We have developed a new method for estimating azimuth in local three-component seismograms through wavelet analysis. The proposed process proceedsin three stages. First, the seismogram is filtered through a wavelet packet approach.Second, the first arrival is determined through a P picker similar to a short-term-average long-term-average scheme that is applied on the wavelet domain. Finally,an adaptive-length window around the pick is selected and used for determining theazimuth, using the property of linear polarization of the first arrival.The proposed method has been applied to three-component short-period seismo-grams for local earthquakes recorded by the seismic network of Alicante provincein southeastern Spain. The locations of these events were previously obtainedthroughthe software HYPO71PC (Lee and Valdes, 1989) and the seismograms recorded byfour analog stations of vertical component distributed within theprovinceofAlicante.The results obtained by the wavelet-based algorithm have been compared with theazimuth angles obtained through the results from the location software. The com-parison indicates that the proposed algorithm can determine the azimuth of the an-alyzed events to within a mean bias of 4.5 .Introduction
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