1. Home
  2. Digital signal processing: a
  3. Multirate signal processing
  4. M-channel filter banks

6.7 M-channel filter banks

<< Chapter < Page
  Digital signal processing: a   Page 1 / 1
Chapter >> Page >

The theory of M-band QMFBs and PRFBs has been investigated recently. Some results are available.

Tree-structured filter banks

Once we have a two-band PRFB, we can continue to split the subbands with similar systems! ( [link] )

Thus we can recursively decompose a signal into 2 p bands, each sampled at 2 p th the rate of the original signal, and reconstruct exactly! Due to the tree structure, this can be quiteefficient, and in fact close to the efficiency of an FFT filter bank, which does not have perfect reconstruction.

Wavelet decomposition

We need not split both the upper-frequency and lower-frequency bands identically. ( [link] )

This is good for image coding, because the energy tends to be distributed such that after a wavelet decomposition, each bandhas roughly equal energy.
<< Chapter < Page Page > Chapter >>

Read also:

Get Jobilize Job Search Mobile App in your pocket Now!

Get it on Google Play Download on the App Store Now




Source:  OpenStax, Digital signal processing: a user's guide. OpenStax CNX. Aug 29, 2006 Download for free at http://cnx.org/content/col10372/1.2
Google Play and the Google Play logo are trademarks of Google Inc.

Notification Switch

Would you like to follow the 'Digital signal processing: a user's guide' conversation and receive update notifications?

Ask