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A Neural Network Approach to the Adaptive Correction of Loudspeaker Nonlinearities

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.

Authors: Low, Stephen; Hawksford, Malcolm J.
Affiliation: University of Essex, Colchester, Essex, UK
AES Convention:95 (October 1993) Paper Number:3751 Import into BibTeX
Subject:Microphones and Loudspeakers

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E-Library Location: (CD aes12)   /pp9193/pp9310/3711.pdf

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