A Neural Network Approach to the Adaptive Correction of Loudspeaker Nonlinearities

Low S, Hawksford MJ. A Neural Network Approach to the Adaptive Correction of Loudspeaker Nonlinearities. In: AES Convention 95. Audio Engineering Society; 1993. Paper 3751. Available from: https://aes.org/publications/elibrary-page/?id=6482

@inproceedings{Low1993_6482,
  author = {Low, Stephen and Hawksford, Malcolm J.},
  title = {{A Neural Network Approach to the Adaptive Correction of Loudspeaker Nonlinearities}},
  booktitle = {AES Convention 95},
  note = {Paper 3751},
  year = {1993},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=6482}
}

TY  - CPAPER
TI  - A Neural Network Approach to the Adaptive Correction of Loudspeaker Nonlinearities
AU  - Low, Stephen
AU  - Hawksford, Malcolm J.
T2  - AES Convention 95
M1  - Paper 3751
PY  - 1993
DA  - 1993/10/06
UR  - https://aes.org/publications/elibrary-page/?id=6482
PB  - Audio Engineering Society
LA  - en
AB  - An adaptive loudspeaker correction scheme for subwoofers is presented that is based upon a four-layer neural network algorithm. Compensation for both dominant time-invariant nonlinearities and time-varying changes in cone mass and voice-coil resistance is achieved. Control data for the correction algorithm is derived using a novel method based upon the knowledge of the current and voltage monitored at the drive unit's terminals.
ER  -