Adaptive IIR filters offer a simple method for in-situ tracking of loudspeaker parameters. The convergence properties of standard adaptive IIR algorithms can, however, be sub-optimal, when applied to loudspeaker system identification using electrical impedance measurement. The normalized-LMS IIR algorithm described by Widrow and Stearns (1985) [ ] either converges slowly or creates excess residual error. This paper shows that, by varying the convergence parameter with the error signal, and by using the square-root of the gradient estimate, convergence time and residual error can be kept within useful limits. Examples based on music signals measured from actual loudspeakers are shown.
Author:
Bright, Andrew
AES Conference:
32nd International Conference: DSP For Loudspeakers (September 2007)
Paper Number:
22
Publication Date:
September 1, 2007
Subject:
DSP for Loudspeakers
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.