Browsing by Author "n 90698394"
Now showing items 1-20 of 122
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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 cross-terms geometry based method for components instantaneous frequency estimation using the Cross Wigner-Ville distribution
(2012 , Conference Paper)A novel method for the signal components instantaneous frequency (IF) estimation based on the CrossWigner-Ville distribution (XWVD) is presented. The cross-terms in the XWVD are deliberately formed between the analyzed ... -
A passive DSP approach to fetal movement detection for monitoring fetal health
(2012 , Conference Paper)Fetal movement can help clinicians understand fetal functional development. Active methods for fetal monitoring such as ultrasound are expensive and there are objections to their long term usage. This paper presents a ... -
A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG
( Elsevier Inc. , 2014 , Article)This paper presents a novel design of a time-frequency (t-f) matched filter as a solution to the problem of detecting a non-stationary signal in the presence of additive noise, for application to the detection of newborn ... -
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)[No abstract available] -
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 efficient algorithm for instantaneous frequency estimation of nonstationary multicomponent signals in low SNR
(2011 , Article)A method for components instantaneous frequency (IF) estimation of multicomponent signals in low signal-to-noise ratio (SNR) is proposed. The method combines a new proposed modification of a blind source separation (BSS) ... -
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 ... -
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 ... -
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
( 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 ...