A Class of Highly Concentrated Time-Frequency Distributions Based on the Ambiguity Domain Representation and Complex-Lag Moment

Orović, Irena; Stanković, Srdjan

doi:10.1155/2009/935314

Cited by 19 publications

(11 citation statements)

References 24 publications

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“…The use of more recent timefrequency estimators presenting better concentration around the signal frequency components may further increase the quality of the extraction of the time-frequency parameters. These methods include but are not limited to the methods discussed in [23][24][25][26][27]. A comparison of these new estimators and the scalogram, for the application to the EHG, is outside the scope of this paper but may be an interesting topic for a study in itself.…”

Section: Discussionmentioning

confidence: 99%

Synchronization between EMG at Different Uterine Locations Investigated Using Time-Frequency Ridge Reconstruction: Comparison of Pregnancy and Labor Contractions

Terrien

Steingrímsdóttir

Marque

et al. 2010

EURASIP J. Adv. Signal Process.

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The extraction of the frequency components of a signal can be useful for the characterization of the underlying system. One method for isolating a frequency component of a signal is by the extraction and reconstruction of the local maxima or ridge of its time-frequency representation. We compare here the performances of two well-known ridge reconstruction methods, namely the Carmona and Marseille methods, on synthetic signals as well as real electrohysterogram (EHG). We show that Carmona's method presents lower reconstruction errors. We then used the separately reconstructed frequency components of the EHG independently for labor prediction using a synchronization measure. We show that the proposed synchronization parameters present similar prediction rate to classical parameters obtained directly from the time-frequency representation but also seem to provide information complementary to the classical parameters and may thus improve the accuracy in labor prediction when they are used jointly.

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Section: Discussionmentioning

confidence: 99%

Synchronization between EMG at Different Uterine Locations Investigated Using Time-Frequency Ridge Reconstruction: Comparison of Pregnancy and Labor Contractions

Terrien

Steingrímsdóttir

Marque

et al. 2010

EURASIP J. Adv. Signal Process.

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“…The L-estimate and standard distribution approaches could be combined in some future work to reduce the calculation complexity. Also, the future research could be focused to generalize the proposed approach to the class of complex-time distributions based on the ambiguity domain [20].…”

Section: Resultsmentioning

confidence: 99%

“…However, it cannot provide good concentration for signals with fast varying IF. Thus, the time-frequency distributions with complex-lag argument have been used to estimate nonlinear and fast IF variations [13][14][15][16][17][18][19][20]. Similarly as other TFDs, these distributions provide poor signal representation in the presence of heavy-tailed noise.…”

Section: Introductionmentioning

confidence: 99%

Robust Time-Frequency Distributions with Complex-Lag Argument

Žarić

Orović

Stanković

2010

EURASIP J. Adv. Signal Process.

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The robust time-frequency distributions with complex-lag argument are proposed. They can provide an accurate estimation of fast varying instantaneous frequency in the presence of noise with heavy-tailed probability density function. The L-estimate form of this distribution is defined and it includes the L-estimate form of Wigner distribution as a special case. A modification for multicomponent signal representation is proposed, as well. Theoretical considerations are illustrated by the examples.

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“…The widely used is short time Fourier transformation (STFT) (Proakis et al 2002), the time-frequency varying autoregressive process (TFAR) (Proakis et al 2002), multiple window method (Cakrak and Loughlin 2001) and wavelet analysis (Rajmic 2014). There are also alternative approaches such as modified empirical mode decomposition (Sebesta et al 2013), the usage of Wigner-Vile distribution (Orovic and Stankovic 2009) or methods for more complicated multicomponent signals (Stankovic et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Combination Of Time-Frequency Representations For Background Noise Suppression

Klejmova¹,

Poměnková²,

Blumenstein³

2017

ECMS 2017 Proceedings Edited by Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, Ján

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The aim of the paper is to propose approach for enhancement of time-frequency representation leading to the background noise suppression. The approach is based on combination of continuous wavelet analysis, timevarying autoregressive process and short time Fourier transform. By such combination we make the identification of important areas in the time-frequency representation easier. The proposed method is an alternative approach to significance tests which can be problematic in some cases. The performance of methods is presented on the gross domestic product of the United Kingdom and Group of 7. The results show that in the UK, oil crisis has a bigger impact compared to financial crisis, while from the perspectives of G7 countries, the impact of financial crisis was stronger. The obtained results can be also used for consequent econometric analysis which identify dependencies, relations, bilateral causalities or other economic aspects.

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A Class of Highly Concentrated Time-Frequency Distributions Based on the Ambiguity Domain Representation and Complex-Lag Moment

Cited by 19 publications

References 24 publications

Synchronization between EMG at Different Uterine Locations Investigated Using Time-Frequency Ridge Reconstruction: Comparison of Pregnancy and Labor Contractions

Synchronization between EMG at Different Uterine Locations Investigated Using Time-Frequency Ridge Reconstruction: Comparison of Pregnancy and Labor Contractions

Robust Time-Frequency Distributions with Complex-Lag Argument

Combination Of Time-Frequency Representations For Background Noise Suppression

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