Adaptive IIR Filters for Loudspeaker Parameter Tracking

Bright A. Adaptive IIR Filters for Loudspeaker Parameter Tracking. In: AES Conference: 32nd International Conference. Audio Engineering Society; 2007. Paper 22. Available from: https://aes.org/publications/elibrary-page/?id=14218

@inproceedings{Bright2007_14218,
  author = {Bright, Andrew},
  title = {{Adaptive IIR Filters for Loudspeaker Parameter Tracking}},
  booktitle = {AES Conference: 32nd International Conference},
  note = {Paper 22},
  year = {2007},
  month = sep,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14218}
}

TY  - CPAPER
TI  - Adaptive IIR Filters for Loudspeaker Parameter Tracking
AU  - Bright, Andrew
T2  - AES Conference: 32nd International Conference
M1  - Paper 22
PY  - 2007
DA  - 2007/09/06
UR  - https://aes.org/publications/elibrary-page/?id=14218
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -