Browsing by Author "Guergachi, A."

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    Using a variation of empirical mode decomposition to remove noise from signals
    (IEEE, 2011-06) Kaleem, M. F.; Guergachi, A.; Krishnan, S.; Çetin, A. Enis
    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.