By Topic

Non-stationary learning characteristics of adaptive lattice filters

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
$31 $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)
Gibson, C. ; McMaster University, Hamilton, Ontario, Canada ; Haykin, S.

This paper presents the results of a preliminary experimental examination of the response of an adaptive lattice-structure prediction-error filter to non-stationary inputs. The lattice-structure examined in this study uses the standard gradient method to continuously implement Burg's harmonic-mean algorithm. The results show a basic relationship between filter response, depth and rate of modulation, and filter adaptive constant and order.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.  (Volume:7 )

Date of Conference:

May 1982