Browsing by Author "n 90698394 "
Now showing items 1-20 of 83
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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
( Elsevier B.V. , 2018 , Article)Structural damage detection has been an interdisciplinary area of interest for various engineering fields. While the available damage detection methods have been in the process of adapting machine learning concepts, most ... -
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 ... -
Accelerometer-based fetal movement detection
( IEEE , 2011 , Conference Paper)Monitoring fetal wellbeing is a compelling problem in modern obstetrics. Clinicians have become increasingly aware of the link between fetal activity (movement), well-being, and later developmental outcome. We have recently ... -
Accurate and efficient implementation of the time–frequency matched filter
( Institution of Engineering and Technology , 2010 , Article)The discrete time-frequency matched filter should replicate the continuoustime-frequency matched filter, but the methods differ. To avoid aliasing, thediscrete method transforms the real-valued signal to the complex-valued ... -
Advanced design and specifications of TFDs
( Elsevier Inc. , 2016 , Book chapter)This chapter describes specific examples of design of time-frequency distributions (TFDs), as a complement to the material described in Chapters 2 and Section 3.1. This key time-frequency (t,f) topic is covered in 11 ... -
Advanced implementation and realization of TFDs
( Elsevier Inc. , 2016 , Book chapter)The design of efficient algorithms is the key to effective utilization of the properties of time-frequency distributions (TFDs) for real-life applications. This chapter presents the needed procedures, techniques, and ... -
Advanced time-frequency signal and system analysis
( Elsevier Inc. , 2016 , Book chapter)This chapter extends Part I by presenting additional advanced key principles underlying the use of time-frequency (t,f) methods. The topic is covered in 11 focused sections. Section 4.1 describes the relationships between ... -
An automatic fast optimization of Quadratic Time-frequency Distribution using the hybrid genetic algorithm
( Elsevier B.V. , 2017 , Article)This paper presents a novel framework for a fully automatic optimization of Quadratic Time-frequency Distributions (QTFDs). This ‘black box’ approach automatically adjusts the QTFD kernel parameters by using a hybrid genetic ... -
An Improved Design of High-Resolution Quadratic Time-Frequency Distributions for the Analysis of Nonstationary Multicomponent Signals Using Directional Compact Kernels
( 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 ... -
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 ... -
Analysis of local time-frequency entropy features for nonstationary signal components time supports detection
( Elsevier Inc. , 2014 , Article)Identification of different specific signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This can be done by applying the local time-frequency-based Rényi ... -
Analysis of the time-varying cortical neural connectivity in the newborn EEG: A time-frequency approach
( IEEE , 2011 , Conference Paper)Relationships between cortical neural recordings as a representation of functional connectivity between cortical brain regions were quantified using different time-frequency criteria. Among these, Partial Directed Coherence ... -
Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features
( Springer Berlin Heidelberg , 2014 , Article)Perinatal hypoxia is a cause of cerebral injury in foetuses and neonates. Detection of foetal hypoxia during labour based on the pattern recognition of heart rate signals suffers from high observer variability and low ... -
An automatic time-frequency procedure for interference suppression by exploiting their geometrical features
( IEEE , 2011 , Conference Paper)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 ... -
Classification of fetal movement accelerometry through time-frequency features
( IEEE , 2014 , Conference Paper)This paper presents a time-frequency approach for fetal movement monitoring which is based on classification of accelerometry signals collected from pregnant women's abdomen. Features extracted from time-frequency distribution ... -
A comparison of quadratic TFDs for entropy based detection of components time supports in multicomponent nonstationary signal mixtures
( IEEE , 2013 , Conference Paper)Separation of different signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This paper proposes a fully automatic undetermined blind source separation method, ... -
Design and implementation of a multi-sensor newborn EEG seizure and background model with inter-channel field characterization
( Elsevier Inc. , 2019 , Article)This paper presents a novel multi-sensor non-stationary EEG model; it is obtained by combining state of the art mono-sensor newborn EEG simulators, a multilayer newborn head model comprised of four homogeneous concentric ... -
Design of a Simulator for Neonatal Multichannel EEG: Application to Time-Frequency Approaches for Automatic Artifact Removal and Seizure Detection
(2016 , Master Thesis)The electroencephalogram (EEG) is used to noninvasively monitor brain activities; it is the most utilized tool to detect abnormalities such as seizures. In recent studies, detection of neonatal EEG seizures has been ... -
Design of a Time-Frequency Algorithm for Automatic Eeg Artifact Removal
( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)The injuries suffered by newborns during birth are a major health issue. To improve the health outcomes of sick newborns using EEG measurements, a number of recent studies focused on the use of high-resolution Time-Frequency ... -
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 ...
