Analog on-chip-learning for active noise canceling

Abstract

Active noise canceling is demonstrated by analog neuro-chips with on-chip learning capability. The developed neuro-chip faithfully incorporates the error-backpropagation learning rule. Without any digital signal processor the developed system successfully compensated for nonlinear distortion of loudspeakers as well as for acoustic multi-path fading and random noises in real time. (C) 2000 Elsevier Science B.V. All rights reserved.