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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
(
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
(
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 ...