A Convolution-Neural-Network Feedforward Active-Noise-Cancellation System on FPGA for In-Ear Headphone

A Convolution-Neural-Network Feedforward Active-Noise-Cancellation System on FPGA for In-Ear Headphone

A real-time streaming feedforward active-noise-cancellation (ANC) system for an in-ear headphone was demonstrated in a real application scenario, by implementing a 10-layer dilated convolutional-neural-network (CNN) on a field programmable gate array (FPGA). A 16 × 16 systolic array was used in the...

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Bibliographic Details
Main Authors: Young-Jae Jang, Jaehyun Park, Won-Cheol Lee, Hong-June Park
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
applying deep learning in active noise control
causality constraints
new techniques in active noise control in-ear headphones
nonlinearity
real-time implementation of the novel active control technique
Online Access:https://www.mdpi.com/2076-3417/12/11/5300

Internet

https://www.mdpi.com/2076-3417/12/11/5300

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