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AuthorLerga, J
AuthorSucic, V
AuthorBoashash, B
Available date2012-06-18T08:16:03Z
Publication Date2011
Publication NameSignal Processing and their Applications (WOSSPA)
CitationJ. Lerga, V. Sucic, and B. Boashash, "An improved method for nonstationary signals components extraction based on the ICI rule," in Proc. of 2011 7th International Workshop on Systems, Signal Processing and their Applications (WOSSPA), 2011, pp. 307-310
URIhttp://dx.doi.org/10.1109/wosspa.2011.5931497
URIhttp://hdl.handle.net/10576/10846
DescriptionThis paper presents an automatic adaptive method to localize and extract signal components from a noisy multicomponent signal TFD. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354). 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: www.time-frequency.net. 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 paper proposes an improved adaptive algorithm for components localization and extraction from a noisy multicomponent signal time-frequency distribution (TFD). The algorithm, based on the intersection of confidence intervals (ICI) rule, does not require any a priori knowledge of signal components and their mixture. Its efficiency is significantly enhanced by using high resolution and reduced cross-terms TFDs. The obtained results are compared for different signal-to-noise ratios (SNRs) and various time and lag window types used in the modified B-distribution (MBD) calculation, proving the method to be a valuable tool in noisy multicomponent signals components extraction in the time-frequency (TF) domain.
Languageen
PublisherIEEE
Subjectadaptive signal detection
SubjectICI rule
Subjectadaptive algorithm
Subjectcomponents localization
Subjectintersection of confidence intervals
Subjectmodified B-distribution
Subjectmulticomponent signal
Subjectnonstationary signals
Subjectsignal enhancement
Subjectsignals components extraction
Subjecttime-frequency distribution
Subjecttime-frequency domain
TitleAn improved method for nonstationary signals components extraction based on the ICI rule
TypeConference Paper


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