Title :
Real-Time Experiment of Snore Active Noise Control
Author :
Kuo, Sen M. ; Gireddy, Rakesh
Author_Institution :
Northern Illinois Univ., Dekalb
Abstract :
This paper presents real-time experiment of active noise control (ANC) algorithms for reducing nonstationary, intermittent snore. Three snore ANC algorithms have been developed and tested to evaluate their performance. The ANC system uses both finite impulse response (FIR) and infinite impulse response (IIR) adaptive filters. Acoustic feedback was minimized by using both adaptive IIR filter and FIR filter with feedback neutralization. Real-time experiments were conducted using a digital signal processor development system and recorded snore samples. An average reduction of 15-20 dB can be achieved using multi-channel ANC systems.
Keywords :
FIR filters; IIR filters; active noise control; digital signal processing chips; FIR filters; IIR adaptive filters; acoustic feedback; digital signal processor development; finite impulse response; infinite impulse response; intermittent snore reduction; multichannel ANC systems; real-time experiment; snore active noise control; Acoustic noise; Acoustic testing; Active noise reduction; Adaptive filters; Digital signal processors; Feedback; Finite impulse response filter; IIR filters; Real time systems; Signal processing algorithms;
Conference_Titel :
Control Applications, 2007. CCA 2007. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0442-1
Electronic_ISBN :
978-1-4244-0443-8
DOI :
10.1109/CCA.2007.4389422
