This is the single method for construction of “ssMODWT
”
objects via the generic ssMODWT
. Simply pass a valid “sampSurf”
object to the method with other appropriate arguments listed below as desired.
signature(ss = "sampSurf")
usage...
ssMODWT(ss, J = NA, wfName = c('haar'), reflect = FALSE, shift = TRUE, trimRight = TRUE, description = 'sampSurf MODWT wavelet decomposition object', runQuiet = FALSE, ...)
ss
: An object of class “sampSurf
” on
which the MODWT decomposition is to be made.
J
: Desired maximum level for the MODWT decomposition, often denoted as
J0.
wfName
:The wavelet filter name. Ostensibly, this should match one of
the filters allowed in waveslim::wave.filter
. See the class definition
for those currently supported.
reflect
: TRUE
: reflect the sampSurf results (note: this is in
addition to periodic correction, which is always done); FALSE
: don't
reflect.
shift
: TRUE
: apply waveslim::shift.2d
to
rectify/realign the MODWT images with the original at all levels;
FALSE
: leave the alignment as is.
trimRight
: When shift=TRUE
occasionally the image has come out
larger at the first decomposition level that the original image, this will trim
the offending extra on the right side and bottom; FALSE
: leave as is.
description
: A character description as desired.
runQuiet
: TRUE
: no feedback; FALSE
: some results
printed.
...
: Arguments currently gobbled.
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