wst
They represent a decomposition of a function with respect to a set of (all possible) shifted wavelets.nlevelsWT(wst)+1
rows in the matrix. Row nlevels(wst)+1
(the ``bottom'') row contains the ``original'' data used to produce the wavelet packet coefficients. Rows nlevels(wst)
to row 1 contain coefficients at resolution levels nlevels(wst)-1
to 0 (so the first row contains coefficients at resolution level 0).
The columns contain the coefficients with respect to packets. A different packet length exists at each resolution level. The packet length at resolution level i
is given by 2^i
. However, the getpacket.wst
function should be used to access individual packets from a wst
object.wp
but containing the father wavelet coefficients.nlevels
you get the number of data points used in the decomposition.filter.select
function).wst$Carray
wst
function which computes the packets-ordered non-decimated wavelet transform (effectively all possible shifts of the standard discrete wavelet transform). Many other functions return an object of class wst
.
AvBasis
, InvBasis
, LocalSpec
, MaNoVe
, accessC
, accessD
, convert
, draw
. getpacket
. image
. nlevelsWT
, nullevels
, plot
, print
, putC
, putD
, putpacket
, summary
, threshold
.wst
object be extracted in one of two ways: getpacket.wst
to obtain individual packets of either father or mother wavelet coefficients.accessD.wst
to obtain all mother coefficients at a particular resolution level.accessC.wst
to obtain all father coefficients at a particular resolution level.wst