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  • 标题:Noise Cancellation in DSSS by Using Adaptive LMS Filter in Fractional Domine Methods
  • 本地全文:下载
  • 作者:N.Murugendrappa ; A.G Ananth
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2016
  • 卷号:5
  • 期号:10
  • 页码:17846
  • DOI:10.15680/IJIRSET.2016.0510079
  • 出版社:S&S Publications
  • 摘要:Adoptive filter techniques are used for noise cancellation in speech signal. The voice carrying DSSSsignal are normally corrupted by noise and the voice signal and noise signal are found to time variant. In such a citationadaptive filtering becomes very relevant. A blocked Adoptive LMS (BLMS) algorithm has been developed in thispaper for the cancellation of noise in Direct Spread Spectrum System (DSSS). The application of BLMS algorithmsbased on adoptive filters in fractional domain on DSSS voice signal indicate an significant improvement in the noisesuppression by 0.46 dB. The BLMS algorithms developed is found to be efficient and simple to adopt for applications.
  • 关键词:Adaptive noise cancellation (ANC); LMS Algorithm; Adaptive filtering. Direct Spread Spectrum;System (DSSS).
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