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An Improved Design of High-Resolution Quadratic Time-Frequency Distributions for the Analysis of Nonstationary Multicomponent Signals Using Directional Compact Kernels
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
This paper presents a new advanced methodology for designing high resolution time-frequency distributions (TFDs) of multicomponent nonstationary signals that can be approximated using piece-wise linear frequency modulated ...
Improving DOA Estimation Algorithms Using High-Resolution Quadratic Time-Frequency Distributions
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
This paper addresses the problem of direction of arrival (DOA) estimation and blind source separation (BSS) for nonstationary signals in the underdetermined case. These two problems are strongly related to the mixing matrix ...
Automatic seizure detection based on the combination of newborn multi-channel EEG and HRV information Advances in Nonstationary Electrophysiological Signal Analysis and Processing
(2012 , Article)
This article proposes a new method for newborn seizure detection that uses information extracted from both multi-channel electroencephalogram (EEG) and a single channel electrocardiogram (ECG). The aim of the study is to ...
Human gait recognition with cane assistive device using quadratic time-frequency distributions
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Institution of Engineering and Technology
, 2015 , Article)
In this study, the authors consider the problem of human gait recognition in the presence of a walking cane using radars. Quadratic time-frequency distributions are used to provide the local signal behaviour over frequency ...
Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review
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Elsevier Inc.
, 2015 , Article)
This paper presents a tutorial review of recent advances in the field of time-frequency (t, f) signal processing with focus on exploiting (t, f) image feature information using pattern recognition techniques for detection ...
Efficient phase estimation for the classification of digitally phase modulated signals using the cross-WVD: A performance evaluation and comparison with the S-transform
(2012 , Article)
This article presents a novel algorithm based on the cross-Wigner-Ville Distribution (XWVD) for optimum phase estimation within the class of phase shift keying signals. The proposed method is a special case of the genera ...
Instantaneous frequency based newborn EEG seizure characterisation
(2012 , Article)
The electroencephalogram (EEG), used to noninvasively monitor brain activity, remains the most reliable tool in the diagnosis of neonatal seizures. Due to their nonstationary and multi-component nature, newborn EEG seizures ...
Evaluation of the modified S-transform for timefrequency synchrony analysis and source localisation
(2012 , Article)
This article considers the problem of phase synchrony and coherence analysis using a modified version of the S-transform, referred to here as the Modified S-transform (MST). This is a novel and important time-frequency ...
Image fusion-based contrast enhancement
(2012 , Article)
The goal of contrast enhancement is to improve visibility of image details without introducing unrealistic visual appearances and/or unwanted artefacts. While global contrast-enhancement techniques enhance the overal ...
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
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Elsevier B.V.
, 2016 , Article)
Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals. Using selected TF distributions (TFDs), TF feature extraction is performed on multi-channel ...