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  • 标题:Performance Analysis of LMS Adaptive FIR Filter and RLS Adaptive FIR Filter for Noise Cancellation
  • 本地全文:下载
  • 作者:Jyotsna Yadav ; Mukesh Kumar ; Rohini Saxena
  • 期刊名称:Signal & Image Processing : An International Journal (SIPIJ)
  • 印刷版ISSN:2229-3922
  • 电子版ISSN:0976-710X
  • 出版年度:2013
  • 卷号:4
  • 期号:3
  • 页码:45
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Interest in adaptive filters continues to grow as they begin to find practical real-time applications in areassuch as channel equalization, echo cancellation, noise cancellation and many other adaptive signalprocessing applications. The key to successful adaptive signal processing understands the fundamentalproperties of adaptive algorithms such as LMS, RLS etc. Adaptive filter is used for the cancellation of thenoise component which is overlap with undesired signal in the same frequency range. This paper presentsdesign, implementation and performance comparison of adaptive FIR filter using LMS and RMSalgorithms. MATLAB Simulink environment are used for simulations.
  • 关键词:FIR; Adaptive Filter; LMS; RLS
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