Ear Field Adaptive Noise Control for Snoring:An Real-time Experimental Approach
Ear Field Adaptive Noise Control for Snoring:An Real-time Experimental Approach作者机构:IEEE the Electrical Engineering DepartmentNorthern Illinois University the Department of Electrical EngineeringChung Yuan Christian University
出 版 物:《IEEE/CAA Journal of Automatica Sinica》 (自动化学报(英文版))
年 卷 期:2019年第6卷第1期
页 面:158-166页
核心收录:
学科分类:0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 1002[医学-临床医学] 0802[工学-机械工程] 0811[工学-控制科学与工程] 10[医学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Active noise control (ANC) audio integrated ANC ear field filtered-X least mean square (FXLMS) snore multi-channel
摘 要:In this paper, an active noise control(ANC) system is developed to provide an effective and non-intrusive solution for reducing loud snoring to provide a quiet environment for a snorer s bed partner. An adaptive least mean square(LMS)algorithm optimized for different kinds of snore signals is introduced and theoretically analyzed. Also, a residual noise masking approach is proposed to further reduce the effect of the snore noise without interfering with the LMS algorithm. Computer simulations followed by real-time experiments are conducted to demonstrate the feasibility of the snore ANC systems based on a pillow setup. For the optimum effect based on the characteristics of human hearing, the performance of the proposed approach is evaluated by using the multi-channel feedforward ANC systems based on the filtered-X least mean square(FXLMS) algorithm.Compared with a traditional headboard setup for snoring noise control, the proposed snore ANC systems optimized for ear field operation yield much higher noise reduction around the ears of the snorer s bed partner.