Active Noise Canceling Using Analog Neuro-Chip with On-Chip Learning Capability

Part of Advances in Neural Information Processing Systems 11 (NIPS 1998)

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Jung-Wook Cho, Soo-Young Lee


A modular analogue neuro-chip set with on-chip learning capability is developed for active noise canceling. The analogue neuro-chip set incorporates the error backpropagation learning rule for practical applications, and allows pin-to-pin interconnections for multi-chip boards. The developed neuro-board demonstrated active noise canceling without any digital signal processor. Multi-path fading of acoustic channels, random noise, and nonlinear distortion of the loud speaker are compensated by the adaptive learning circuits of the neuro-chips. Experimental results are reported for cancellation of car noise in real time.