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  • 标题:Filtering Noises from speech Signal : A BPNN approach
  • 本地全文:下载
  • 作者:Debananda Padhi ; Brataati Mahaanty ; Sucharita Padhi
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 出版社:S.S. Mishra
  • 摘要:This paper gives a nural network of the type feed forward error Back Propagation (BPNN) which is used for filtering of noise. The purpose of this paper was to gain insight into the way neural network can be trained to remove noise from a noise corrupted signal with implications for the signal processing in general. The neural network simulation was implemented in MATLAB. Training of the n eural network occurred on a set of spectr al data with random transitions and line shape parameter. This paper represents mathematical representation of BPNN and noise filtering using error back propagation
  • 关键词:BPNN; Adaptive filter; Noise signal
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