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  • 标题:Role of Biquad and Hilbert Filters in Removing Noise? A Simulink Analysis
  • 本地全文:下载
  • 作者:Animesh Kumar Jha
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:9
  • 页码:151-156
  • DOI:10.14257/ijsip.2015.8.9.15
  • 出版社:SERSC
  • 摘要:Often some noise signals get interleaved with speech signals and owing to noisy surroundings the captured signal may not sound as desired. For such cases, a combination of Hilbert transform filter and Biquad filter in cascaded form might prove helpful. An arrangement in a simulink model demonstrates successful noise reduction in a voice signal recorded from a microphone. Both the filters used were of Direct Form structure, while the Hilbert filter was a Direct Form FIR, the Biquad was Direct Form II structure filter. The observations for speech signal as well as noise signals have been produced as results that show a significant noise removal
  • 关键词:Biquad filter; noise; Simulink
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