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Author Lerga, Jen_US
Author Sucic, Ven_US
Author Boashash, Ben_US
Available date 2012-06-18T08:16:03Zen_US
Publication Date 2011en_US
Publication Name Signal Processing and their Applications (WOSSPA)
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. 307-310en_US
URI http://dx.doi.org/10.1109/wosspa.2011.5931497en_US
URI http://hdl.handle.net/10576/10846en_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
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 enen_US
Publisher IEEEen_US
Subject adaptive signal detectionen_US
Subject ICI ruleen_US
Subject adaptive algorithmen_US
Subject components localizationen_US
Subject intersection of confidence intervalsen_US
Subject modified B-distributionen_US
Subject multicomponent signalen_US
Subject nonstationary signalsen_US
Subject signal enhancementen_US
Subject signals components extractionen_US
Subject time-frequency distributionen_US
Subject time-frequency domainen_US
Title An improved method for nonstationary signals components extraction based on the ICI ruleen_US
Type Conference Paperen_US


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