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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 ...

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 ...

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 ...

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 ...