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

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    Boashash-Sucic-Lerga-et-al_2011_IEEE_WOSSPA_component-extraction-ICI.pdf (492.4Kb)
    Date
    2011
    Author
    Lerga, J
    Sucic, V
    Boashash, B
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    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.

    DOI/handle
    http://dx.doi.org/10.1109/wosspa.2011.5931497
    http://hdl.handle.net/10576/10846
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    • Engineering Innovation Research [‎41 ‎ items ]

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