• 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