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

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


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