Title :
Application of digital signal processor to snore cancellation
Author :
Liao, Kuo-Chun ; Chang, Cheng-Yuan
Author_Institution :
Dept. of Electr. Eng., Chung Yuan Christian Univ., Jhongli, Taiwan
Abstract :
This paper presents the application of a digital signal processor (DSP) to snore cancellation. The algorithm, which includes a finite impulse response (FIR) filter and the least mean square (LMS) method to tune the weights in filter, is adopted to design an anti-snore signal to destructively interfere the snore. Experimental results show the effectiveness of proposed method is up to 5-10dB.
Keywords :
FIR filters; acoustic signal processing; digital signal processing chips; least mean squares methods; digital signal processor; finite impulse response filter; least mean square method; snore cancellation; Broadband communication; Ear; Filtering algorithms; Filtering theory; Microphones; Noise; Sleep apnea; DSP; FIR; LMS; snore cancellation;
Conference_Titel :
System Science and Engineering (ICSSE), 2011 International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-61284-351-3
Electronic_ISBN :
978-1-61284-472-5
DOI :
10.1109/ICSSE.2011.5961902
