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$Carraywst 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.wstto 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