English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/19841
Título

Degree of Polarization Filter for Frequency-Dependent Signal Enhancement Through Noise Suppression

AutorSchimmel, Martin ; Gallart Muset, Josep
Fecha de publicaciónjun-2004
EditorSeismological Society of America
CitaciónBulletin of Seismological Society of America 94(3): 1016-1035 (2004)
ResumenWe construct and examine a new frequency-dependent polarization filter to attenuate less polarized signals and noise in single and multichannel seismic data. The filter uses a degree of polarization measure which is defined as a measure of the variations of an arbitrary instantaneous polarization through the course of the signal. Small variations indicate a high degree of polarization. The frequencydependent degree of polarization is based on the eigen analysis of the data covariance matrices and is used to weight the decomposed time series in the time-frequency domain. This approach permits the frequency-dependent detection of polarized signals and their enhancement through less polarized signal and noise suppression. Further, interfering signals with different frequency contents can be separated. With densely spaced data the degree of polarization can be averaged locally to include the wave-field directivity. This procedure is important since, through the averaging, isolated polarized noise can be removed, but isolated unpolarized signals are not suppressed. In contrast to waveform stacks or stacks of data covariance matrices our approach does not punish signals with spatially changing characteristics, such as happens in the transition from precritical to postcritical reflections. Our data adaptive filter is analyzed with theoretical test data before it is applied to a complex wideangle record section from the West Pyrenees.
Versión del editorhttp://www.bssaonline.org/cgi/content/full/94/3/1016?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&author1=Schimmel&searchid=1&FIRSTINDEX=0&sortspec=relevance&resourcetype=HWCIT
URIhttp://hdl.handle.net/10261/19841
DOI10.1785/0120030178
ISSN0037-1106
Aparece en las colecciones: (ICTJA) Artículos
Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Mostrar el registro completo
 

Artículos relacionados:


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.