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Robust estimation of highly-varying nonlinear instantaneous frequency of monocomponent signals using a lower-order complex-time distribution
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Elsevier B.V.
, 2013 , Article)
This paper proposes an approach for robust estimation of highly-varying nonlinear instantaneous frequency (IF) in monocomponent nonstationary signals. The proposed method is based on a lower order complex-time distribution ...
Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection
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Elsevier B.V.
, 2017 , Article)
This study demonstrates that a time-frequency (TF) image pattern recognition approach offers significant advantages over standard signal classification methods that use t-domain only or f-domain only features. Two approaches ...
Refining the ambiguity domain characteristics of non-stationary signals for improved time–frequency analysis: Test case of multidirectional and multicomponent piecewise LFM and HFM signals
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Elsevier Inc.
, 2018 , Article)
This paper aims at providing a more accurate description of the ambiguity domain characteristics of a piecewise multicomponent non-stationary signals with focus on piece-wise linear frequency modulated (LFM) (PW-LFM) signal ...
A robust high-resolution time-frequency representation based on the local optimization of the short-time fractional Fourier transform
(
Elsevier Inc.
, 2017 , Article)
The Locally Optimized Spectrogram (LOS) defines a novel method for obtaining a high-resolution time-frequency (t,f) representation based on the short-time fractional Fourier transform (STFrFT). The key novelty of the LOS ...
Surrogate data test for nonlinearity of EEG signals: A newborn EEG burst suppression case study
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Elsevier Inc.
, 2017 , Article)
This paper applies the surrogate data method to investigate the presence of nonlinearity in neonatal electroencephalogram (EEG) burst suppression (B/S) patterns in order to rationalize the use of nonlinear methods for ...
Designing high-resolution time–frequency and time–scale distributions for the analysis and classification of non-stationary signals: a tutorial review with a comparison of features performance
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Elsevier Inc.
, 2018 , Article)
This paper deals with the problem of extracting information from non-stationary signals in the form of features that can be used for effective decision-making in both data analysis and machine learning for automatic ...
Robust multisensor time–frequency signal processing: A tutorial review with illustrations of performance enhancement in selected application areas
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Elsevier Inc.
, 2018 , Article)
This paper presents high-resolution multisensor time–frequency distributions (MTFDs) and their applications to the analysis of multichannel non-stationary signals. The approach combines high-resolution time–frequency ...
An improved time–frequency noise reduction method using a psycho-acoustic Mel model
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Elsevier Inc.
, 2018 , Article)
This paper addresses the problem of noise reduction in non-stationary signals. The paper first describes a human physiology based time?frequency (TF) representation (HPTF) using Mel filterbanks. It is then used to improve ...