A joint time-frequency empirical mode decomposition for nonstationary signal separation

N. Stevenson; M. Mesbah; B. Boashash; H. J. Whitehouse

doi:10.1109/ISSPA.2007.4555307

A joint time-frequency empirical mode decomposition for nonstationary signal separation

N. Stevenson^*, M. Mesbah, B. Boashash, H. J. Whitehouse

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This paper outlines the application of the empirical mode decomposition (EMD) to a frequency domain representation of a signal. The application to frequency domain representations, as opposed to time domain representations, may provide more useful decomposition in the case where signal components overlap in frequency. The combined use of the EMD for both time and frequency domain representations of a signal is capable of generating more desirable signal decompositions for nonstationary signals. The results of the time-frequency EMD on two example signals shows improvement in nonstationary signal separation with little loss of desirable decomposition performance measures such as IMF orthogonality.

Original language	English
Title of host publication	2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
DOIs	https://doi.org/10.1109/ISSPA.2007.4555307
Publication status	Published - 2007
Externally published	Yes
Event	2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 - Sharjah, United Arab Emirates Duration: Feb 12 2007 → Feb 15 2007

Publication series

Name	2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings

Other

Other	2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007
Country/Territory	United Arab Emirates
City	Sharjah
Period	2/12/07 → 2/15/07

ASJC Scopus subject areas

Signal Processing

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10.1109/ISSPA.2007.4555307

Cite this

Stevenson, N., Mesbah, M., Boashash, B., & Whitehouse, H. J. (2007). A joint time-frequency empirical mode decomposition for nonstationary signal separation. In 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings Article 4555307 (2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings). https://doi.org/10.1109/ISSPA.2007.4555307

A joint time-frequency empirical mode decomposition for nonstationary signal separation. / Stevenson, N.; Mesbah, M.; Boashash, B. et al.
2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings. 2007. 4555307 (2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Stevenson, N, Mesbah, M, Boashash, B & Whitehouse, HJ 2007, A joint time-frequency empirical mode decomposition for nonstationary signal separation. in 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings., 4555307, 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings, 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Sharjah, United Arab Emirates, 2/12/07. https://doi.org/10.1109/ISSPA.2007.4555307

Stevenson N, Mesbah M, Boashash B, Whitehouse HJ. A joint time-frequency empirical mode decomposition for nonstationary signal separation. In 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings. 2007. 4555307. (2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings). doi: 10.1109/ISSPA.2007.4555307

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AB - This paper outlines the application of the empirical mode decomposition (EMD) to a frequency domain representation of a signal. The application to frequency domain representations, as opposed to time domain representations, may provide more useful decomposition in the case where signal components overlap in frequency. The combined use of the EMD for both time and frequency domain representations of a signal is capable of generating more desirable signal decompositions for nonstationary signals. The results of the time-frequency EMD on two example signals shows improvement in nonstationary signal separation with little loss of desirable decomposition performance measures such as IMF orthogonality.

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A joint time-frequency empirical mode decomposition for nonstationary signal separation

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