Title :
Application of Active Noise Control for Reducing Snore
Author :
Chakravarthy, Sreeram R. ; Kuo, Sen M.
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL
Abstract :
This paper presents an application of active noise control (ANC) for reducing snoring noise. The proposed snore ANC system can be installed on a traditional headboard, thus has potential benefits in retrofit, convenience, and is unobtrusive. Six snore ANC structures were developed using three different filtered-x least mean square (FXLMS) algorithms to achieve better performance with lower computational complexity and overall system cost. Real-time experiments using a twin-size headboard and snore samples show a reasonable size of quiet zone with satisfactory performance achieved with a low-cost ANC system
Keywords :
active noise control; bioacoustics; computational complexity; filtering theory; least mean squares methods; sleep; ANC; active noise control; computational complexity; filtered-x least mean square algorithms; snoring noise reduction; twin-size headboard; Active noise reduction; Costs; Frequency; Loudspeakers; Low-frequency noise; Microphones; Noise cancellation; Noise level; Sleep apnea; Working environment noise;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661273
