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  • 标题:Dualistic Threshold Based Min-Max Method for Voice Signal Enhancement
  • 本地全文:下载
  • 作者:Pushpraj Tanwar ; Ajay Somkuwar
  • 期刊名称:International Journal of VLSI Design & Communication Systems
  • 印刷版ISSN:0976-1527
  • 电子版ISSN:0976-1357
  • 出版年度:2016
  • 卷号:7
  • 期号:3
  • 页码:1
  • DOI:10.5121/vlsic.2016.7301
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In this article, unwanted transitory assessment is specified by averaging previous phantom powerstandards and through a levelling stricture that is in step by the symbol existence likelihood in sub-bands.A two threshold based min-max method is proposed that we compare with the recursive averaging (RA)approach for unwanted transient assessment with SAL (spectral amplitude with logarithm assessment) invoice signal enrichment .The SAL procedure includes a transient assessment and the unwanted transientPSDs in virtual stationary form, and enrichment of voice signal. It is proficient of tracing the incomingsignal rapid variations in spectra and supports to assessment of PSD for transients effectively. Theunwanted transient assessment is much efficient by proposed method as compared to SAL method and RAin terms of the voice signal power to noise ratio (SNR). And finally by simulation modelling we show theresults.
  • 关键词:Aural noise; signal assessment; spectral exploration; transient noise assessment
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