An improved method for nonstationary signals components extraction based on the ICI rule

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An improved method for nonstationary signals components extraction based on the ICI rule

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dc.contributor.author Lerga, J
dc.contributor.author Sucic, V
dc.contributor.author Boashash, B
dc.date.accessioned 2012-06-18T08:16:03Z
dc.date.available 2012-06-18T08:16:03Z
dc.date.issued 2011
dc.identifier.citation J. 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 en_US
dc.identifier.uri http://dx.doi.org/10.1109/wosspa.2011.5931497
dc.identifier.uri http://hdl.handle.net/10576/10846
dc.description This 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).
dc.description.abstract This 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. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject adaptive signal detection
dc.subject ICI rule
dc.subject adaptive algorithm
dc.subject components localization
dc.subject intersection of confidence intervals
dc.subject modified B-distribution
dc.subject multicomponent signal
dc.subject nonstationary signals
dc.subject signal enhancement
dc.subject signals components extraction
dc.subject time-frequency distribution
dc.subject time-frequency domain
dc.title An improved method for nonstationary signals components extraction based on the ICI rule en_US
dc.type Article en_US

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