  A wavelet analysis has been performed on 80 intense gamma-ray bursts GRBs)
from the BATSE 3B catalog with durations longer than 2 seconds. The wavelet
analysis applied novel features developed for edge detection in image
processing and this filtering process was used to extract a fit to the
irregular GRB profile from the background. A straightforward algorithm was
subsequently used to identify statistically significant peaks in this profile.
The areas and FWHM of 270 peaks that were characterised as isolated were found
to be consistent with lognormal distributions. The distribution of time
intervals between peak maxima for all 963 identified peaks in the GRBs is also
presented.
