DocumentCode :
694511
Title :
Improvement of audio noise reduction system based on RLS algorithm
Author :
Huang Guopin ; Zhao Wei ; Zhang Qin
Author_Institution :
Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
fYear :
2013
fDate :
12-13 Oct. 2013
Firstpage :
964
Lastpage :
968
Abstract :
As various noises seriously affect the quality of our life, the noise cancellation and suppression has been an important task. After decades of development, the researchers have come up with a variety of effective methods to reduce certain types of noises. However, the noise presenting in life are basically a mixture of different kinds of noise. This paper examines a phenomenon of periodic noise mixing with impulse noise. In order to cancel or suppress mixed noise, using the method of spectrogram to detect and eliminate of impulse noise, and then sending the remaining mixed noise into improved RLS adaptive filtering system to eliminate periodic noise. Through the method described in this paper, SNR can achieve 12dB or more, and the noise reduction coefficient can reach more than 0.9.
Keywords :
adaptive filters; impulse noise; least mean squares methods; RLS; adaptive filtering system; audio noise reduction system; impulse noise; mixed noise; noise cancellation; noise suppression; periodic noise mixing; recursive least squares; spectrogram; Adaptive filters; Algorithm design and analysis; Noise cancellation; Noise reduction; Signal processing algorithms; Signal to noise ratio; active control; impulse noise; periodic noise; recursive least squares; spectrogram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/ICCSNT.2013.6967264
Filename :
6967264
Link To Document :
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