Browsing Technology Innovation and Engineering Education Unit by Author "O'Toole J.M."
Now showing items 1-7 of 7
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Accurate and efficient implementation of the time–frequency matched filter
O'Toole, J.M.; Mesbah, M; Boashash, B ( 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 ... -
Analysis of the time-varying cortical neural connectivity in the newborn EEG: A time-frequency approach
Omidvarnia, A; Mesbah, M; O'Toole, J.M.; Colditz, P; Boashash, B ( 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 ... -
Fast and memory-efficient algorithms for computing quadratic time–frequency distributions
O'Toole, J.M.; Boashash, B ( Elsevier Inc , 2013 , Article)Algorithms for computing time–frequency distributions (TFDs) limit computation time by reducing numerical operations. But these fast algorithms do not reduce the memory load. This article presents four TFD algorithms to ... -
Improved Discrete Definition of Quadratic Time-Frequency Distributions
O'Toole, J.M.; Mesbah, M.; Boashash, B. ( IEEE , 2010 , Article)Computation of a time-frequency distribution (TFD) requires a discrete version of the continuous distribution. This discrete TFD (DTFD) should be free from aliasing and conserve all the important mathematical properties ... -
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 ... -
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 ... -
Robust estimation of highly-varying nonlinear instantaneous frequency of monocomponent signals using a lower-order complex-time distribution
Omidvarnia, A.; Azemi, G.; O'Toole, J.M.; Boashash, B. ( Elsevier B.V. , 2013 , Article)This paper proposes an approach for robust estimation of highly-varying nonlinear instantaneous frequency (IF) in monocomponent nonstationary signals. The proposed method is based on a lower order complex-time distribution ...