#
# Generate an wd object.
#
tmp <- wd(rnorm(32))
#
# Now get R to use print.wd
#
tmp
# Class 'wd' : Discrete Wavelet Transform Object:
# ~~ : List with 8 components with names
# C D nlevelsWT fl.dbase filter type bc date
#
# $ C and $ D are LONG coefficient vectors !
#
# Created on : Fri Oct 23 19:56:00 1998
# Type of decomposition: wavelet
#
# summary(.):
# ----------
# Levels: 5
# Length of original: 32
# Filter was: Daub cmpct on least asymm N=10
# Boundary handling: periodic
# Transform type: wavelet
# Date: Fri Oct 23 19:56:00 1998
#
#
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