By Topic

Multiple input/multiple output linear prediction of subband signals

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
L. Vandendorpe ; Commun. & Remote Sensing Lab., Univ. Catholique de Louvain, Belgium ; B. Maison

The prediction of subband signals usually incurs a penalty, compared to the prediction of the fullband signal. This problem can be solved by exploiting the statistical dependencies between subbands with multiple input/multiple output (MIMO) linear prediction tools. We derive the MMO linear predictor for a minimum mean-squared error criterion. The interest of adaptive structures is briefly discussed. It is shown next how these tools can be applied to waveform coding. Finally, the performance of the proposed methods is numerically evaluated and tested on a real-world image signal

Published in:

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing  (Volume:46 ,  Issue: 9 )