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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