Function: iuwfbt

IUWFBT   Inverse Undecimated Wavelet Filterbank Tree
  Usage: f = iuwfbt(c,info)
         f = iuwfbt(c,wt)

  Input parameters:
        c       : Coefficients stored in L xM matrix.
        info,wt : Transform parameters struct/Wavelet tree definition.

  Output parameters:
        f     : Reconstructed data.

  f = IUWFBT(c,info) reconstructs signal f from the coefficients c*
  using parameters from info struct. both returned by the UWFBT 
  function.

  f = IUWFBT(c,wt) reconstructs signal f from the wavelet coefficients
  c using the undecimated wavelet filterbank tree described by wt.

  Please see help for WFBT description of possible formats of wt.

  Filter scaling:
  ---------------

  As in UWFBT, the function recognizes three flags controlling scaling
  of the filters:

     'sqrt'
              Each filter is scaled by 1/sqrt(a), there a is the hop
              factor associated with it. If the original filterbank is
              orthonormal, the overall undecimated transform is a tight
              frame.
              This is the default.

     'noscale'
              Uses filters without scaling.

     'scale'
              Each filter is scaled by 1/a.

  If 'noscale' is used, 'scale' must have been used in UWFBT (and vice
  versa) in order to obtain a perfect reconstruction.

  Examples:
  ---------

  A simple example showing perfect reconstruction using the "full
  decomposition" wavelet tree:

    f = greasy;
    J = 6;
    c = uwfbt(f,{'db8',J,'full'});
    fhat = iuwfbt(c,{'db8',J,'full'});
    % The following should give (almost) zero
    norm(f-fhat)

Url: http://ltfat.github.io/doc/wavelets/iuwfbt.html

See also: uwfbt, plotwavelets.

Package: ltfat