Show simple item record

AuthorStevenson, N.J
AuthorMesbah, M
AuthorBoashash, B
Available date2011-10-18T10:16:02Z
Publication Date2010-08
Publication NameIET Signal Processing
CitationStevenson, 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 2010
DescriptionThis 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).
AbstractThis 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.
PublisherInstitution of Engineering and Technology
Subjectradar signal processing
Subjectsonar signal processing
SubjectWigner-Ville Distribution
Subjectcomposite time-frequency
Subjectempirical mode decomposition
Subjectmultiple signal components
Subjectmultiple-view time-frequency distribution
Subjectradar signal processing
Subjectsonar signal processing
Subjecttime- frequency domain
TitleMultiple-view time-frequency distribution based on the empirical mode decomposition

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record