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Instantaneous Frequency Estimation of Multi-component Non-Stationary Signals using Multi-view Time-Frequency Distributions Based on the Adaptive Fractional Spectrogram
(
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 ...
Wavelet Denoising Based on the MAP Estimation Using the BKF Prior With Application to Images and EEG Signals
(
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 ...
Effective implementation of time–frequency matched filter with adapted pre and postprocessing for data-dependent detection of newborn seizures
(
Elsevier
, 2013 , Article)
Neonatal EEG seizures often manifest as nonstationary and multicomponent signals, necessitating analysis in the time–frequency (TF) domain. This paper presents a novel neonatal seizure detector based on effective implementation ...
Fast and memory-efficient algorithms for computing quadratic time–frequency distributions
(
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 ...
A time–frequency based approach for generalized phase synchrony assessment in nonstationary multivariate signals
(
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 ...
Robust estimation of highly-varying nonlinear instantaneous frequency of monocomponent signals using a lower-order complex-time distribution
(
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 ...