An Integration Development of Traditional Algorithm and Neural Network for Active Noise Cancellation-Reference-Cited by-同舟云学术

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An Integration Development of Traditional Algorithm and Neural Network for Active Noise Cancellation

Published:2022-08-22 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP)
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Author:

Jiang Yihang¹,Liu Hongqing¹,Zhou Yi¹,Luo Zhen¹

Affiliation:

1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9943282/9943306/09943441.pdf?arnumber=9943441

Reference22 articles.

1. Deep anc: A deep learning approach to active noise control;hao;Neural Networks,2021

2. Development of equation-error adaptive IIR-filter-based active noise control system

3. Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression

4. Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

5. Temporal convolutional networks for action segmentation and detection;lea;IEEE Computer Society,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual-MIC Delay Matching for Adaptive Noise Cancellation;2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE);2023-12-30

2. Research on Narrowband Line Spectrum Noise Control Method Based on Nearest Neighbor Filter and BP Neural Network Feedback Mechanism;Sound&Vibration;2023

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