ISSN:
1572-946X
Schlagwort(e):
Gamma-ray burst
;
Time series
;
Edge detection
;
Noise reduction
;
Variability
Quelle:
Springer Online Journal Archives 1860-2000
Thema:
Physik
Notizen:
Abstract Multiscale edge detection (MSED), using wavelet transform extrema, provides a robust method to compress the information in a transient signal. We apply this to gamma-ray burst (GRB) time series. Multiscale edge detection can be used to quantify the variability, identify structures (e.g. FREDs), and suppress noise. We present preliminary results of MSED applied to BATSE 64ms discsc data.
Materialart:
Digitale Medien
URL:
http://dx.doi.org/10.1007/BF00658599
Permalink