We applied the wavelet transform in an attempt to detect long-period components early in a seismogram. We analyzed the displacement seismograms of the 26 December 2004 Sumatra-Andaman earthquake (Mw = 9.2) and the 28 March 2005 Nias earthquake (Mw = 8.7). Wavelet analysis is able to clearly distinguish the amplitudes of the long-period W phase between the seismograms of the two earthquakes before the S wave reaches the station. It shows that the 2004 earthquake generates a W phase of significantly greater amplitude. This facility has potential application to the rapid identification of truly great earthquakes with high tsunami potential
In this work, we present the mathematical derivation of the formulas to be used in the cross-correla...
The wavelet transform is one of the most important method used in signal processing. In this study, ...
In this study, a novel solution based on discrete wavelet transform is introduced to determine P- an...
We applied the wavelet transform in an attempt to detect long-period components early in a seismogra...
This dissertation presents the analysis of earthquake data collected from four locations in the USA ...
The discrete time wavelet transform has been used to develop software that detects seismic P and S-p...
A quantitative approach for identifying pulse-like ground motions is proposed herein. It is based on...
Abstract This paper is motivated from the need to extract the characteristic time and length scales ...
The wavelet transform is one of the most important method used in signal processing. In this study, ...
In this dissertation I quantitatively demonstrate how the wavelet transform can be an effective math...
Forecasting earthquakes is one of the most important problems in Earth science because of their deva...
Abstract—We report the statistical and wavelet analyses of the 21 May 2003 tsunami produced by an Mw...
In 2011, a Mw 6.9 intraplate earthquake struck the state of Sikkim in India.The earthquake caused su...
In order to identify the horizontal seismic motion owning the largest pulse energy, and represent th...
This paper presents some applications of the wavelet transform in the field of seismic signal analys...
In this work, we present the mathematical derivation of the formulas to be used in the cross-correla...
The wavelet transform is one of the most important method used in signal processing. In this study, ...
In this study, a novel solution based on discrete wavelet transform is introduced to determine P- an...
We applied the wavelet transform in an attempt to detect long-period components early in a seismogra...
This dissertation presents the analysis of earthquake data collected from four locations in the USA ...
The discrete time wavelet transform has been used to develop software that detects seismic P and S-p...
A quantitative approach for identifying pulse-like ground motions is proposed herein. It is based on...
Abstract This paper is motivated from the need to extract the characteristic time and length scales ...
The wavelet transform is one of the most important method used in signal processing. In this study, ...
In this dissertation I quantitatively demonstrate how the wavelet transform can be an effective math...
Forecasting earthquakes is one of the most important problems in Earth science because of their deva...
Abstract—We report the statistical and wavelet analyses of the 21 May 2003 tsunami produced by an Mw...
In 2011, a Mw 6.9 intraplate earthquake struck the state of Sikkim in India.The earthquake caused su...
In order to identify the horizontal seismic motion owning the largest pulse energy, and represent th...
This paper presents some applications of the wavelet transform in the field of seismic signal analys...
In this work, we present the mathematical derivation of the formulas to be used in the cross-correla...
The wavelet transform is one of the most important method used in signal processing. In this study, ...
In this study, a novel solution based on discrete wavelet transform is introduced to determine P- an...