Using a variation of empirical mode decomposition to remove noise from signals

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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.

Source Title

Proceedings of the IEEE 21st International Conference on Noise and Fluctuations, ICNF 2011

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IEEE

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Citation

Published Version (Please cite this version)

Language

English