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      • Department of Electrical and Electronics Engineering
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      Using a variation of empirical mode decomposition to remove noise from signals

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      Author
      Kaleem, M. F.
      Guergachi, A.
      Krishnan, S.
      Çetin, A. Enis
      Date
      2011-06
      Source Title
      Proceedings of the IEEE 21st International Conference on Noise and Fluctuations, ICNF 2011
      Publisher
      IEEE
      Pages
      123 - 126
      Language
      English
      Type
      Conference Paper
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      Abstract
      This paper will describe the application of -based decomposition, which is a variation of the empirical mode decomposition method based on modified peak selection, to de-noising and de-trending of signals. The -based decomposition method will be explained, and its application to synthetic and real-world signals in the context of de-noising and de-trending will be described. Comparison between the computational simplicity of the τ-based decomposition method to de-noising and de-trending of signals and approaches based on empirical mode decomposition will be highlighted. © 2011 IEEE.
      Keywords
      De-noising
      De-trending
      Empirical mode decomposition
      De-noising
      Decomposition methods
      Empirical mode decomposition
      Empirical mode decomposition method
      REmove noise
      Permalink
      http://hdl.handle.net/11693/28345
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICNF.2011.5994279
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      • Department of Electrical and Electronics Engineering 3601
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