Browsing by Author "n 90698394 "
Now showing items 61-80 of 116
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Instantaneous frequency estimation and localization
El-Jaroudi, A.; Emresoy, M.K.; Stanković, L.J.; Hussain, Z.M.; Boashash, B.; O'Shea, P.J.; Barkat, B.; Sucic, V.; Lerga, J.; Rankine, L.J.; Djurović, I.; Simeunović, M.; Djukanović, S.; Ristic, B.... more authors ... less authors ( Elsevier Inc. , 2016 , Book chapter)In many applications, a critical feature of a non-stationary signal is provided by its instantaneous frequency (IF), which accounts for the signal spectral variations as a function of time. This chapter presents methods ... -
Instantaneous Frequency Estimation of Multi-component Non-Stationary Signals using Multi-view Time-Frequency Distributions Based on the Adaptive Fractional Spectrogram
Khan, N.A.; Boashash, B. ( IEEE , 2013 , Article)This letter presents a novel algorithm to compute the instantaneous frequency (IF) of a multicomponent nonstationary signal using a combination of fractional spectrograms (FS). A high resolution time frequency distribution ... -
Iterative blocking artefact reduction based on local contrast information
Saleem, A.; Beghdadi, A.; Chetouani, A.; Boashash, B. ( IEEE , 2011 , Conference Paper)Block based transform coding is the most popular technique for image and video compression. However, images compressed using block based algorithms exhibit highly visible blocking artifacts. We propose an iterative ... -
Kalman filter-based time-varying cortical connectivity analysis of newborn EEG
Omidvarnia, A.H.; Mesbah, M.; Khlif, M.S.; O'Toole, J.M.; Colditz, P.; Boashash, B.... more authors ... less authors ( IEEE , 2011 , Conference Paper)Multivariate Granger causality in the timefrequency domain as a representation of time-varying cortical connectivity in the brain has been investigated for the adult case. This is, however, not the case in newborns as ... -
Measures, performance assessment, and enhancement of TFDs
Boashash, B.; Touati, S.; Auger, F.; Flandrin, P.; Chassande-Mottin, E.; Stanković, L.J.; Sucic, V.; Khan N.; Sejdić, E.; Sucic, V.; Saulig, N.; Shafi, I.; Ahmad, J.; Shah, S.I.... more authors ... less authors ( Elsevier Inc. , 2016 , Book chapter)This chapter describes a number of time-frequency (t,f) performance quality measures specifically developed as criteria for performance enhancement for a given application. The adopted performance measures are defined using ... -
Measuring time-varying information flow in scalp EEG signals: Orthogonalized partial directed coherence
Omidvarnia, Amir; Azemi, Ghasem; Boashash, Boualem; Otoole, John M.; Colditz, Paul B.; Vanhatalo, Sampsa... more authors ... less authors ( IEEE , 2014 , Article)This study aimed to develop a time-frequency method for measuring directional interactions over time and frequency from scalp-recorded electroencephalographic (EEG) signals in a way that is less affected by volume conduction ... -
A methodology for time-frequency image processing applied to the classification of nonstationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals
Azemi, Ghasem; Boubchir, Larbi; Boashash, B. ( Springer , 2003 , Article)This article presents a general methodology for processing non-stationary signals for the purpose of classification and localization. The methodology combines methods adapted from three complementary areas: time-frequency ... -
Micro-Doppler characteristics of elderly gait patterns with walking AIDS
Amin M.G.; Ahmad F.; Zhang Y.D.; Boashash B. ( SPIE , 2015 , Conference Paper)In this paper, we analyze the micro-Doppler signatures of elderly gait patterns in the presence of walking AIDS using radars. The signatures are based on real data experiments conducted in a laboratory environment using ... -
Multi-component instantaneous frequency estimation using locally adaptive directional time frequency distributions
Khan, N. A.; Boashash, B. ( John Wiley & Sons, Ltd. , 2015 , Article)This paper presents a locally adaptive time-frequency (t,f) method for estimating the instantaneous frequency (IF) of multi-component signals. A high-resolution adaptive directional time-frequency distribution (ADTFD) is ... -
Multicomponent noisy signal adaptive instantaneous frequency estimation using components time support information
Sucic V.; Lerga J.; Boashash B. ( Institution of Engineering and Technology , 2014 , Article)This study proposes an adaptive method for components instantaneous frequency (IF) estimation of noisy non-stationary multicomponent signals, combined with the components time-support estimation method based on the shorttime ... -
Multiple-view time-frequency distribution based on the empirical mode decomposition
Stevenson, N.J; Mesbah, M; Boashash, B ( Institution of Engineering and Technology , 2010 , Article)This study proposes a novel, composite time-frequency distribution (TFD) constructed using a multiple-view approach. This composite TFD utilises the intrinsic mode functions (IMFs) of the empirical mode decomposition (EMD) ... -
Multisensor, multichannel, and time-space processing
Boashash, B.; Ali, S.; Amin, M.G.; Zhang, Y.D.; Abed-Meraim, K.; Belouchrani, A.; Leyman, A.R.; Linh-Trung, N.; Abed-Meraim, K.; Aïssa-El-Bey, A.... more authors ... less authors ( Elsevier Inc. , 2016 , Book chapter)This chapter presents time-frequency (t,f) methods suitable for multichannel signal processing using multisensor and time-space processing methods. The topic is covered in seven sections with relevant cross-referencing. A ... -
Non-invasivemonitoring of fetal movements using time-frequency features of accelerometry
Layeghy S.; Azemi G.; Colditz P.; Boashash B. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)This paper presents a time-frequency approach for fetal movement monitoring which is based on the instantaneous amplitude (IA) and instantaneous frequency (IF) of signals collected using 3axial accelerometers placed over ... -
A Nonlinear Model of Newborn EEG with Nonstationary Inputs
Stevenson, N.J; Mesbah, M; Boylan, G.B; Colditz, P.B; Boashash, B ( Springer US , 2010 , Article)Newborn EEG is a complex multiple channel signal that displays nonstationary and nonlinear characteristics. Recent studies have focussed on characterizing the manifestation of seizure on the EEG for the purpose of automated ... -
A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity
Stevenson, N.J.; O'Toole, J.M.; Rankine, L.J.; Boylan, G.B.; Boashash, B. ( Elsevier Ltd , 2011 , Article)Automated methods of neonatal EEG seizure detection attempt to highlight the evolving, stereotypical, pseudo-periodic, nature of EEG seizure while rejecting the nonstationary, modulated, coloured stochastic background in ... -
NPRP 4-1303-2- 517- Progress Report Number 5- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation"
Boashash, B.; Colditz, Paul (2015 , Report)This is a progress report for the project NPRP 4 - 1303 - 2 – 517- Progress Report Number 5- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation" -
NPRP 4-1303-2-517- Progress Report Number 6- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation"
Boashash, B.; Colditz, Paul (2016 , Report)This is a progress report on the project NPRP 4 - 1303 - 2 – 517- Progress Report Number 6- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation" -
NPRP 6-885-2-364 - Progress Report Number 5- "Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel time-frequency signal processing approach"
Boashash, B.; Colditz, Paul (2017 , Report)This is a progress report for the project NPRP 6 - 885 - 2 – 364 - Progress Report Number 5- Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel ... -
NPRP 6-885-2-364- Progress Report Number 4- "Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel time-frequency signal processing approach"
Boashash, B.; Colditz, Paul (2016 , Report)This is a project report on the project NPRP 6 - 885 - 2 – 364 - Progress Report Number 4- Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel ... -
On the selection of time-frequency features for improving the detection and classification of newborn EEG seizure signals and other abnormalities
Boashash B.; Boubchir L. (2012 , Conference Paper)This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by translating some relevant time features or frequency features to the joint time-frequency domain. ...