By Topic

Frequency warped Burg's method for AR-modeling

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

4 Author(s)
Roth, K. ; Dept. of Phys., Turku Univ., Finland ; Kauppinen, I. ; Esquef, P.A.A. ; Valimaki, V.

Auto-regressive modeling of measured data is commonly used in numerous signal processing applications. When aiming for high accuracy, Burg's method has been found to give a suitable model. It has been shown that when the signal energy is non-uniformly distributed in a frequency range, the use of a modified frequency scale is advantageous. This is often the case with audio signals. We introduce a frequency warped version of Burg's method for calculating the auto-regressive filter parameters. A bilinear frequency mapping can be embedded in Burg's method by replacing the unit-delays of the lattice structure used in Burg's method with first-order allpass filters. The benefits of the frequency-warped Burg's method are demonstrated by comparing its signal modeling performance against those of the conventional Burg's method and the warped Yule-Walker method.

Published in:

Applications of Signal Processing to Audio and Acoustics, 2003 IEEE Workshop on.

Date of Conference:

19-22 Oct. 2003