Browsing by Author "n 90698394 "
Now showing items 101-116 of 116
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Time-frequency analysis of heart rate variability in neonatal piglets exposed to hypoxia
Dong S.; Mesbah M.; Lingwood B.E.; O'Toole J.M.; Boashash B. (2011 , Conference Paper)To determine whether the sympathetic nervous system plays any role in the inter-individual variation of cardiovascular response to hypoxia in newborns, neonatal heart rate variability (HRV) analysis was used to assess ... -
Time-frequency and instantaneous frequency concepts
Boashash, B. ( Elsevier Inc. , 2016 , Book chapter)This chapter provides an extended in-depth treatment of the material described in Chapter I. It focuses on the precise description of the key concepts and formulations needed to formally describe time-frequency (t, f) ... -
Time-frequency approach to radar detection, imaging, and classification
Thayaparan, T; Stankovic, L; Amin, M; Cohen, L; Boashash, B ( Institution of Engineering and Technology , 2010 , Article)One of the central problems in exploiting the radar data is the analysis of atime series. The problem at hand is how to extract the information present in the data and use it to its full potential. Traditionally, radar ... -
Time-Frequency Characterization of Tri-Axial Accelerometer Data for Fetal Movement Detection
Khlif, M.S.; Boashash, B; Layeghy, S; Ben-Jabeur, T; Mesbah, M; East, C; Colditz, P... more authors ... less authors ( IEEE , 2011 , Conference Paper)Monitoring fetal wellbeing is a significant problem in modern obstetrics. Clinicians have become increasingly aware of the link between fetal activity and its well-being. Using data acquired by accelerometry sensors, we ... -
Time-frequency detection of slowly varying periodic signals with harmonics: Methods and performance evaluation
O'Toole J.M.; Boashash B. (2011 , Article)We consider the problem of detecting an unknown signal from an unknown noise type. We restrict the signal type to a class of slowly varying periodic signals with harmonic components, a class which includes real signals ... -
Time-frequency diagnosis, condition monitoring, and fault detection
Powers, E.J.; Shin, Y.-J.; Mack Grady, W.; Böhme, J.F.; Carstens-Behrens, S.; Papandreou-Suppappola, A.; Hlawatsch, F.; Boudreaux-Bartels, G.F.; Beghdadi, A.; Iordache, R.; Boashash, B.; Djebbari, A.; Ouelha, S.; Onchis, D.M.... more authors ... less authors ( Elsevier Inc. , 2016 , Book chapter)This chapter aims to further illustrate the (t,f) approach by selecting a few key generic applications of diagnosis and monitoring. The topic is represented by seven sections. One key application is electrical power ... -
Time-Frequency Distributions Based on Compact Support Kernels: Properties and Performance Evaluation
Abed, M; Belouchrani, A; Cheriet, M; Boashash, B ( IEEE , 2012 , Article)This paper presents two new time-frequency distributions (TFDs) based on kernels with compact support (KCS) namely the separable (CB) (SCB) and the polynomial CB (PCB) TFDs. The implementation of this family of TFDs ... -
Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review
Boashash B.; Khan N.A.; Ben-Jabeur T. ( 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 ... -
Time-frequency methodologies in neurosciences
Boashash, B.; Stevenson, N.J.; Rankine, L.J.; Stevenson, N.J.; Azemi, G.; Sejdić, E.; Aviyente, S.; Akan, A.; Mert, A.; Dong, S.; Omidvarnia, A.; Zarjam, P.; O'Toole, J.M.; Colditz, P.... more authors ... less authors ( Elsevier Inc. , 2016 , Book chapter)This chapter presents a number of time-frequency (t,f) techniques that can provide advanced solutions to several problems in neuro-sciences with focus on the monitoring of brain abnormalities using EEG and other physiological ... -
Time-frequency methods in communications
Amin, M.G.; Lindsey, A.R.; Sayeed, A.M.; Barbarossa, S.; Tsitsvero, M.; Akay, O.; Boudreaux-Bartels, G.F.; Sha'ameri, A.Z.; Boashash, B.... more authors ... less authors ( Elsevier Inc. , 2016 , Book chapter)The wide range of potential applications of time-frequency (t,f) methods made them an important tool in most fields of science and engineering. Telecommunications is one of the key industries where (t,f) methods started ... -
Time-frequency methods in radar, sonar, and acoustics
Marple, S.L., Jr.; Barbarossa, S.; Ferguson, B.G.; Lo, K.W.; Frazer, G.J.; Boashash, B.; Chandran, V.; Gholami, A.; Ouelha, S.... more authors ... less authors ( Elsevier Inc. , 2016 , Book chapter)The fields of radar and sonar are traditionally key application areas and testing grounds for advances in signal processing, including time-frequency (t,f) methodologies; their significance is demonstrated in seven ... -
Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities
Boashash, Boualem; Boubchir, Larbi; Azemi, Ghasem ( IEEE , 2011 , Conference Paper)This paper presents an introduction to time-frequency (T-F) methods in signal processing, and a novel approach for EEG abnormalities detection and classification based on a combination of signal related features and image ... -
Time-frequency synthesis and filtering
Hlawatsch, F.; Matz, G.; Boashash, B.; Ouelha, S.; Stanković, S.; Hassanpour, H.... more authors ... less authors ( Elsevier Inc. , 2016 , Book chapter)This chapter presents methods and techniques to design time-varying linear systems such as filters with precise time-frequency (t,f) specifications; this capability can then allow one to model and predict accurately the ... -
A time–frequency based approach for generalized phase synchrony assessment in nonstationary multivariate signals
Omidvarnia, A; Azemi, G; Colditz, P.B; Boashash, B ( Elsevier , 2013 , Article)This paper proposes a new approach to estimate the phase synchrony among nonstationary multivariate signals using the linear relationships between their instantaneous frequency (IF) laws. For cases where nonstationary ... -
Wavelet Denoising Based on the MAP Estimation Using the BKF Prior With Application to Images and EEG Signals
Boubchir, Larbi; Boashash, Boualem ( IEEE , 2013 , Article)This paper presents a novel nonparametric Bayesian estimator for signal and image denoising in the wavelet domain. This approach uses a prior model of the wavelet coefficients designed to capture the sparseness of the ... -
Wideband radar based fall motion detection for a generic elderly
Erol, Baris; Amin, Moeness G.; Boashash, B.; Ahmad, Fauzia; Zhang, Yimin D. ( IEEE Computer Society , 2017 , Conference Paper)Radar-based automated fall detection systems are considered as an important and emerging technology for elderly assisted living. These radar systems provide non-intrusive sensing capabilities to detect fall events. Various ...