Complex blind source extraction from noisy mixtures using second-order statistics
A class of second-order complex domain blind source extraction algorithms is introduced to
cater for signals with noncircular probability distributions, which is a typical case in real …
cater for signals with noncircular probability distributions, which is a typical case in real …
Blind second-order source extraction of instantaneous noisy mixtures
The problem of blind source extraction (BSE) for noisy measurements is addressed in the
domain of second-order statistics using the linear predictor method. By extending the results …
domain of second-order statistics using the linear predictor method. By extending the results …
Kurtosis based blind source extraction of complex noncircular signals with application in EEG artifact removal in real-time
A new class of complex domain blind source extraction algorithms suitable for the extraction
of both circular and non-circular complex signals is proposed. This is achieved through …
of both circular and non-circular complex signals is proposed. This is achieved through …
Blind Source Separation Method Based on the Improved Whale Optimization Algorithm
C Wu, W Li, Y Qi, J Wang - 2023 42nd Chinese Control …, 2023 - ieeexplore.ieee.org
In order to solve the problem of slow convergence and easy trapping in local optimum of
traditional intelligent optimization algorithms in Blind Source Separation problem, a Blind …
traditional intelligent optimization algorithms in Blind Source Separation problem, a Blind …
Driving maneuver detection via sequence learning from vehicle signals and video images
Driving maneuver detection is one of the most challenging tasks in Advanced Driver
Assistance Systems (ADAS). Research has shown that the early notification of improper …
Assistance Systems (ADAS). Research has shown that the early notification of improper …
Removing ballistocardiogram artifact from EEG using short-and long-term linear predictor
In this paper, a novel source extraction method is proposed for removing ballistocardiogram
(BCG) artifact from EEG. BCG appears in EEG signals recorded simultaneously with …
(BCG) artifact from EEG. BCG appears in EEG signals recorded simultaneously with …
Removal of ballistocardiogram artifacts using the cyclostationary source extraction method
F Ghaderi, K Nazarpour, JG McWhirter… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
Ballistocardiogram (BCG) artifact is considered here as the sum of a number of independent
cyclostationary components having the same cycle frequency. Our proposed method, called …
cyclostationary components having the same cycle frequency. Our proposed method, called …
Blind source extraction based on a linear predictor
A rigorous analysis of the blind source extraction (BSE) approach based on a linear
predictor is provided. It is shown that by minimising the mean squared prediction error …
predictor is provided. It is shown that by minimising the mean squared prediction error …
An algorithm for extracting fetal electrocardiogram
Y Li, Z Yi - Neurocomputing, 2008 - Elsevier
The extraction of fetal electrocardiogram (FECG) from the composite maternal ECG signal is
discussed. This problem can be modelled from the perspective of blind source extraction. An …
discussed. This problem can be modelled from the perspective of blind source extraction. An …