Title :
Using a variation of empirical mode decomposition to remove noise from signals
Author :
Kaleem, M.F. ; Guergachi, A. ; Krishnan, S. ; Cetin, A.E.
Author_Institution :
Ryerson Univ., Toronto, ON, Canada
Abstract :
This paper will describe the application of τ-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 τ-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.
Keywords :
signal denoising; τ-based decomposition method; EMD; empirical mode decomposition; modified peak selection; signal detrending; signals denoising; Electroencephalography; Interference; Noise; Noise reduction; Speech; Spline; Time frequency analysis; De-noising; de-trending; empirical mode decomposition;
Conference_Titel :
Noise and Fluctuations (ICNF), 2011 21st International Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4577-0189-4
DOI :
10.1109/ICNF.2011.5994279
