Active Noise Canceling Using Analog Neuro-Chip with On-Chip Learning Capability
Abstract
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.
Cite
Text
Cho and Lee. "Active Noise Canceling Using Analog Neuro-Chip with On-Chip Learning Capability." Neural Information Processing Systems, 1998.Markdown
[Cho and Lee. "Active Noise Canceling Using Analog Neuro-Chip with On-Chip Learning Capability." Neural Information Processing Systems, 1998.](https://mlanthology.org/neurips/1998/cho1998neurips-active/)BibTeX
@inproceedings{cho1998neurips-active,
title = {{Active Noise Canceling Using Analog Neuro-Chip with On-Chip Learning Capability}},
author = {Cho, Jung-Wook and Lee, Soo-Young},
booktitle = {Neural Information Processing Systems},
year = {1998},
pages = {664-670},
url = {https://mlanthology.org/neurips/1998/cho1998neurips-active/}
}