Function: demo_wfbt
DEMO_WFBT  Auditory filterbanks built using filterbank tree structures

  This demo shows two specific constructions of wavelet filterbank trees
  using several M-band filterbanks with possibly different M (making the
  thee non-homogenous) in order to approximate auditory frequency bands 
  and a musical scale respectively.  Both wavelet trees produce perfectly
  reconstructable non-redundant representations. 

  The constructions are the following:

     1) Auditory filterbank, approximately dividing the frequency band 
        into intervals reminisent of the bask scale.

     2) Musical filterbank, approximately dividing the freq. band into
        intervals reminicent of the well-tempered musical scale.
        
  Shapes of the trees were taken from fig. 8 and fig. 9 from the refernece.
  Sampling frequency of the test signal is 48kHz as used in the article.

  Figure 1: Frequency responses of the auditory filterbank.

     Both axes are in logarithmic scale.
  
  Figure 2: TF plot of the test signal using the auditory filterbank.

  Figure 3: Frequency responses of the musical filterbank.

     Both axes are in logarithmic scale.
  
  Figure 4: TF plot of the test signal using the musical filterbank.

  References:
    F. Kurth and M. Clausen. Filter bank tree and M-band wavelet packet
    algorithms in audio signal processing. Signal Processing, IEEE
    Transactions on, 47(2):549--554, Feb 1999.
    

Url: http://ltfat.github.io/doc/demos/demo_wfbt.html

Package: ltfat