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  • 标题:A Novel Technique for Speech Processing Using Combinational Adaptive Methods
  • 本地全文:下载
  • 作者:M. Koteswara Rao ; I. Santhi Prabha
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2016
  • 卷号:5
  • 期号:1
  • 页码:165-170
  • 出版社:IJCSN publisher
  • 摘要:This paper presents a new technic to introduceadaptive Filter with combinational Algorithm likeNormalized LMS & variable stepsize LMS based onShadow technic. Which is useful for the cancellation of thenoise component mixed with Speech in the samefrequency range, In this design proposed projectimplements an adaptive FIR filter,is based on the Shadowtechnic, which produces less mean square error and betterconvergence factor compare to LMS, here spectralcharacteristics of window is improved by shadow technic,finally de noised Speech is obtained at output, and alsopropose to calculate Signal to noise ratio values of shadowbased Adaptive Filter with Normalized & variable stepsizedLMS algorithm.
  • 关键词:Windows; FIR; Combinational LMS Algorithm;Shadow Technique
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