#
# Generate an mwd object.
#
tmp <- mwd(rnorm(32))
#
# Now get Splus to use print.mwd
#
tmp
# Class 'mwd' : Discrete Multiple Wavelet Transform Object:
# ~~~ : List with 10 components with names
# C D nlevelsWT ndata filter fl.dbase type bc prefilter date
#
# $ C and $ D are LONG coefficient vectors !
#
# Created on : Tue Nov 16 13:16:07 GMT 1999
# Type of decomposition: wavelet
#
# summary:
# ----------
# Length of original: 32
# Levels: 4
# Filter was: Geronimo Multiwavelets
# Scaling fns: 2
# Wavelet fns: 2
# Prefilter: default
# Scaling factor: 2
# Boundary handling: periodic
# Transform type: wavelet
# Date: Tue Nov 16 13:16:07 GMT 1999
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