Multiple-view time-frequency distribution based on the empirical mode decomposition

Stevenson, N. J., Mesbah, M. and Boashash, B. (2010) Multiple-view time-frequency distribution based on the empirical mode decomposition. I E T Signal Processing, 4 4: 447-456. doi:10.1049/iet-spr.2009.0084

Author Stevenson, N. J.
Mesbah, M.
Boashash, B.
Title Multiple-view time-frequency distribution based on the empirical mode decomposition
Journal name I E T Signal Processing   Check publisher's open access policy
ISSN 1751-9675
Publication date 2010-08
Sub-type Article (original research)
DOI 10.1049/iet-spr.2009.0084
Volume 4
Issue 4
Start page 447
End page 456
Total pages 10
Place of publication Stevenage, Herts, United Kingdom
Publisher The Institution of Engineering and Technology
Collection year 2011
Language eng
Abstract This study proposes a novel, composite time–frequency distribution (TFD) constructed using a multipleview approach. This composite TFD utilises the intrinsic mode functions (IMFs) of the empirical mode decomposition (EMD) to generate each view that are then combined using the arithmetic mean. This process has the potential to eliminate the inter-component interference generated by a quadratic TFD (QTFD), as the IMFs of the EMD are, in general, monocomponent signals. The formulation of the multiple-view TFD in the ambiguity domain results in faster computation, compared to a convolutive implementation in the time– frequency domain, and a more robust TFD in the presence of noise. The composite TFD, referred to as the EMD-TFD, was shown to generate a heuristically more accurate representation of the distribution of time– frequency energy in a signal. It was also shown to have performance comparable to the Wigner–Ville distribution when estimating the instantaneous frequency of multiple signal components in the presence of noise. © Copyright 2011 IEEE – All Rights Reserved
Keyword Radar signal processing
Sonar signal processing
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Special Issue on Time-Frequency Approach to Radar Detection, Imaging, and Classification

Document type: Journal Article
Sub-type: Article (original research)
Collections: UQ Centre for Clinical Research Publications
Official 2011 Collection
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Citation counts: TR Web of Science Citation Count  Cited 8 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 9 times in Scopus Article | Citations
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Created: Sun, 29 Aug 2010, 00:05:29 EST