Nonlinear Loudspeaker Adaptive Controllers using Kalman and RLS Adaptive Algorithms

Adriano Ribeiro R, Joaquim Serralheiro A, Simões Piedade M. Nonlinear Loudspeaker Adaptive Controllers using Kalman and RLS Adaptive Algorithms. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6523. Available from: https://aes.org/publications/elibrary-page/?id=13239

@inproceedings{AdrianoRibeiro2005_13239,
  author = {Adriano Ribeiro, Ricardo and Joaquim Serralheiro, Antonio and Simões Piedade, Moises},
  title = {{Nonlinear Loudspeaker Adaptive Controllers using Kalman and RLS Adaptive Algorithms}},
  booktitle = {AES Convention 118},
  note = {Paper 6523},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13239}
}

TY  - CPAPER
TI  - Nonlinear Loudspeaker Adaptive Controllers using Kalman and RLS Adaptive Algorithms
AU  - Adriano Ribeiro, Ricardo
AU  - Joaquim Serralheiro, Antonio
AU  - Simões Piedade, Moises
T2  - AES Convention 118
M1  - Paper 6523
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13239
PB  - Audio Engineering Society
LA  - en
AB  - The nonlinear behavior of loudspeaker is responsible for distorting the sound it reproduces. In order to decrease that distortion, nonlinear controllers are used. However, a good knowledge of the loudspeaker parameters is required so that the controllers can be effective. Based both on a simplified nonlinear model of the loudspeaker and a modification to adaptive filers, systems for the estimation of the mechanical and electrical parameters of the loudspeaker where developed. The application of the Kalman and the RLS adaptive algorithms shown that both converge, although the convergence time for the electrical part estimation system was about 15 times slower than for the mechanical one.
ER  -