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.
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