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.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.