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

Files
Using a variation of empirical mode decomposition to remove noise from signals.pdf (705.15 KB)
Date
2011-06
Authors
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
Proceedings of the IEEE 21st International Conference on Noise and Fluctuations, ICNF 2011
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
123 - 126
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
Series
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.

Course
Other identifiers
Book Title
Keywords
De-noising , De-trending , Empirical mode decomposition , De-noising , Decomposition methods , Empirical mode decomposition , Empirical mode decomposition method , REmove noise
Citation
Permalink
http://hdl.handle.net/11693/28345
Published Version (Please cite this version)
https://doi.org/10.1109/ICNF.2011.5994279
Collections
Department of Electrical and Electronics Engineering