Journal Forum

Synthetic Reverberator - January 1960

Sound Board: High-Resolution Audio - October 2015

Synchronized Swept-Sine: Theory, Application, and Implementation - October 2015

Access Journal Forum

AES E-Library

A Neural Network Approach to the Adaptive Correction of Loudspeaker Nonlinearities

Document Thumbnail

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.

AES Convention: Paper Number:
Publication Date:

Click to purchase paper 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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

Facebook   Twitter   LinkedIn   Google+   YouTube   RSS News Feeds  
AES - Audio Engineering Society