International audienceP to S converted receiver functions recorded at VBB FDSN California stations are studied in the frequency range of 0.1 to i Hz. Microseismic noise is maximum in this frequency range, but signal processing by the wavelet transform enables us: (1) to enhance seismic phases associated with seismic velocity gradients and discontinuities at the base of the upper mantle, (2) to extract accurate arrival times, and (3) to obtain an accurate insight into the frequency content. In the case of California, one seismic discontinuity and two zones of high gradients in the depth range of 625 to 720km are recurrently observed for two different data sets
The wavelet transform is one of the most important method used in signal processing. In this study, ...
A (spatial) wavelet transform is applied to the seismic data model in the space domain, such that a ...
The discrete wavelet transform has been an exciting topic of mathematical research for about 10 year...
International audienceP to S converted receiver functions recorded at VBB FDSN California stations a...
Considerable attention has been focussed on the use of wavelet transforms for seismic data compressi...
This dissertation presents the analysis of earthquake data collected from four locations in the USA ...
This paper presents some applications of the wavelet transform in the field of seismic signal analys...
The discrete time wavelet transform has been used to develop software that detects seismic P and S-p...
The goal of this thesis is to use wavelet transforms as tools to analyze simultaneously the time (o...
The concept of wavelet transform was initially proposed by Morlet and Arens (1982) in ...
Every seismic event produces seismic waves which travel throughout the Earth. Seismology is the scie...
The wavelet transform is one of the most important method used in signal processing. In this study, ...
We applied the wavelet transform in an attempt to detect long-period components early in a seismogra...
Seismic noise is unwanted energy which opposed to the signals corresponding to the reflected energy ...
When seismic waves propagate through the Earth, their high-frequency energy is absorbed by subsurfac...
The wavelet transform is one of the most important method used in signal processing. In this study, ...
A (spatial) wavelet transform is applied to the seismic data model in the space domain, such that a ...
The discrete wavelet transform has been an exciting topic of mathematical research for about 10 year...
International audienceP to S converted receiver functions recorded at VBB FDSN California stations a...
Considerable attention has been focussed on the use of wavelet transforms for seismic data compressi...
This dissertation presents the analysis of earthquake data collected from four locations in the USA ...
This paper presents some applications of the wavelet transform in the field of seismic signal analys...
The discrete time wavelet transform has been used to develop software that detects seismic P and S-p...
The goal of this thesis is to use wavelet transforms as tools to analyze simultaneously the time (o...
The concept of wavelet transform was initially proposed by Morlet and Arens (1982) in ...
Every seismic event produces seismic waves which travel throughout the Earth. Seismology is the scie...
The wavelet transform is one of the most important method used in signal processing. In this study, ...
We applied the wavelet transform in an attempt to detect long-period components early in a seismogra...
Seismic noise is unwanted energy which opposed to the signals corresponding to the reflected energy ...
When seismic waves propagate through the Earth, their high-frequency energy is absorbed by subsurfac...
The wavelet transform is one of the most important method used in signal processing. In this study, ...
A (spatial) wavelet transform is applied to the seismic data model in the space domain, such that a ...
The discrete wavelet transform has been an exciting topic of mathematical research for about 10 year...