IWFBT Inverse Wavelet Filterbank Tree
Usage: f=iwfbt(c,info);
f=iwfbt(c,wt,Ls);
Input parameters:
c : Coefficients stored in a cell-array.
info,wt : Transform parameters struct/Wavelet Filterbank tree
Ls : Length of the reconstructed signal.
Output parameters:
f : Reconstructed data.
f = IWFBT(c,info) reconstructs signal f from the coefficients c*
using parameters from info struct. both returned by WFBT function.
f = IWFBT(c,wt,Ls) reconstructs signal f from the coefficients c*
using filterbank tree defined by wt. Plese see WFBT function for
possible formats of wt. The Ls parameter is mandatory due to the
ambiguity of reconstruction lengths introduced by the subsampling
operation and by boundary treatment methods. Note that the same flag as
in the WFBT function have to be used, otherwise perfect reconstruction
cannot be obtained. Please see help for WFBT for description of the
flags.
Examples:
---------
A simple example showing perfect reconstruction using IDTWFB:
f = gspi;
J = 7;
wt = {'db6',J};
c = wfbt(f,wt);
fhat = iwfbt(c,wt,length(f));
% The following should give (almost) zero
norm(f-fhat)
Url: http://ltfat.github.io/doc/wavelets/iwfbt.html
See also: wfbt, wfbtinit.
Package: ltfat