A time-frequency distribution based on the empirical mode decomposition

N. Stevenson; M. Mesbah; B. Boashash

doi:10.1109/ISSPA.2007.4555306

A time-frequency distribution based on the empirical mode decomposition

N. Stevenson^*, M. Mesbah, B. Boashash

^*Corresponding author for this work

Electrical and Computer Engineering

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

3 Citations (Scopus)

Abstract

This paper proposes a new time-frequency distribution (TFD) based on the empirical mode decomposition (EMD). The TFD, referred to as the EMD-TFD, is developed using a multiple view approach formulated in the ambiguity domain. The individual intrinsic mode functions (IMFs) of the EMD are used to construct each view in the ambiguity domain and an adaptive filter is centered around the signal energy. This filter utilises the fact that the IMFs correspond closely to the definition of signal components in the time-frequency domain and a multiple view approach will remove the intercomponent cross-terms. The comparison of the EMD-TFD to several other TFDs using two correlation measures shows improved performance.

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.2007.4555306
Publication status	Published - 2007
Event	2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 - Sharjah, United Arab Emirates Duration: Feb 12 2007 → Feb 15 2007

Other

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

ASJC Scopus subject areas

Signal Processing

Access to Document

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Stevenson, N, Mesbah, M & Boashash, B 2007, A time-frequency distribution based on the empirical mode decomposition. in 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings., 4555306, 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.2007.4555306

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