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Author Stevenson, N.Jen_US
Author Mesbah, Men_US
Author Boashash, Ben_US
Available date 2011-10-18T10:16:02Zen_US
Publication Date 2010-08en_US
Publication Name IET Signal Processing
Citation Stevenson, N.J.; Mesbah, M.; Boashash, B., "Multiple-view time-frequency distribution based on the empirical mode decomposition," Signal Processing, IET , vol.4, no.4, pp.447,456, August 2010en_US
ISSN 1751-9675en_US
Description This paper proposes a composite TFD based on a multiple-view Approach where the IMFs of an EMD are used to construct a series of views in the ambiguity domain by highlighting concentrations of energy in the ambiguity domain and overcoming interferences in TFDs. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated).en_US
Abstract This study proposes a novel, composite time-frequency distribution (TFD) constructed using a multiple-view 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.en_US
Language enen_US
Publisher Institution of Engineering and Technologyen_US
Subject radar signal processingen_US
Subject sonar signal processingen_US
Subject EMDen_US
Subject TFDen_US
Subject Wigner-Ville Distributionen_US
Subject composite time-frequencyen_US
Subject empirical mode decompositionen_US
Subject multiple signal componentsen_US
Subject multiple-view time-frequency distributionen_US
Subject radar signal processingen_US
Subject sonar signal processingen_US
Subject time- frequency domainen_US
Title Multiple-view time-frequency distribution based on the empirical mode decompositionen_US
Type Articleen_US

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