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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 ...
A Nonlinear Model of Newborn EEG with Nonstationary Inputs
(
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 ...
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 ...
Improved Discrete Definition of Quadratic Time-Frequency Distributions
(
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 ...
Time-frequency approach to radar detection, imaging, and classification
(
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 ...
Multiple-view time-frequency distribution based on the empirical mode decomposition
(
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) ...
Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities
(
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 ...
Analysis of the time-varying cortical neural connectivity in the newborn EEG: A time-frequency approach
(
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 ...
Foreword to WOSSPA2013 Proceedings
(
IEEE
, 2013 , Conference Proceedings)
A comparison of quadratic TFDs for entropy based detection of components time supports in multicomponent nonstationary signal mixtures
(
IEEE
, 2013 , Conference Paper)
Separation of different signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This paper proposes a fully automatic undetermined blind source separation method, ...