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    Browsing by Subject "time-frequency signal processing"

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        An automatic time-frequency procedure for interference suppression by exploiting their geometrical features 

        Saulig, Nicoletta; Sucic, Victor; Boashash, Boualem ( IEEE , 2011 , Conference)
        This paper presents an adaptive method for interference suppression in the Wigner-Ville distribution. The structure of the artifacts in the Wigner-Ville distribution has been analyzed to optimally mask the signal Wigner-Ville ...
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        Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy 

        Sucic, Victor; Saulig, Nicoletta; Boashash, Boualem ( Springer , 2011 , Article)
        The time-frequency Rényi entropy provides a measure of complexity of a nonstationary multicomponent signal in the time-frequency plane. When the complexity of a signal corresponds to the number of its components, then this ...
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        Fast and memory-efficient algorithms for computing quadratic time–frequency distributions 

        O'Toole, J.M.; Boashash, B ( Elsevier Inc , 2013 , Article)
        Algorithms for computing time–frequency distributions (TFDs) limit computation time by reducing numerical operations. But these fast algorithms do not reduce the memory load. This article presents four TFD algorithms to ...
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        Instantaneous Frequency Estimation of Multi-component Non-Stationary Signals using Multi-view Time-Frequency Distributions Based on the Adaptive Fractional Spectrogram 

        Khan, N.A.; Boashash, B. ( IEEE , 2013 , Article)
        This letter presents a novel algorithm to compute the instantaneous frequency (IF) of a multicomponent nonstationary signal using a combination of fractional spectrograms (FS). A high resolution time frequency distribution ...
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        A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity 

        Stevenson, N.J.; O'Toole, J.M.; Rankine, L.J.; Boylan, G.B.; Boashash, B. ( Elsevier Ltd , 2011 , Article)
        Automated methods of neonatal EEG seizure detection attempt to highlight the evolving, stereotypical, pseudo-periodic, nature of EEG seizure while rejecting the nonstationary, modulated, coloured stochastic background in ...

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