A Real Time Subband Implementation of an Active Noise Control System for Snoring Reduction

被引：1
|
作者：
Nobili, Stefano [1 ]
Bruschi, Valeria [1 ]
Bettarelli, Ferruccio [2 ]
Cecchi, Stefania [1 ]
机构：
[1] Univ Politecn Marche, Dept Informat Engn, Ancona, Italy
[2] Leaff Engn, Osimo, Italy
来源：
PROCEEDINGS OF THE 12TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2021) | 2021年
关键词：
active noise control; subband adaptive filtering; filters bank; snoring reduction;
D O I：
10.1109/ISPA52656.2021.9552038
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a real time implementation of an active noise control (ANC) system for snoring cancellation is presented. This method is based on an online secondary path estimation procedure and includes a subband adaptive filtering (SAF) structure for the primary path estimation. The introduction of the SAF approach allows to improve the performances on the estimation of both primary and secondary path in terms of convergence rate. The algorithm has been compared with the state of the art through several experiments that have proved the effectiveness of the proposed system in real applications.
引用
收藏
页码：109 / 114
页数：6
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