Wai Yie Leong

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An extension of blind source extraction (BSE) of one or a group of sources to the case of ill—conditioned and post-nonlinear (PNL) mixing is introduced. This is achieved by a “mixed objective” type of cost function which jointly maximizes the kurtosis of a recovered source and estimates a measure of nonlinearity within the mixing system. This helps to(More)
In this paper, we addressed the issue of estimating the angle-of-arrival using the beamformer-based smart antennas. In general wireless communication system, it was apparent that even for one source there are many possible propagation paths and angles of arrival. If several transmitters are operating simultaneously, each source potentially creates many(More)
We provide an overview of blind source extraction (BSE) algorithms whereby only one source of interest is separated at the time. First, BSE approaches for linear instantaneous mixtures are reviewed with a particular focus on the ‘‘linear predictor’’ based approach. A rigorous proof of the existence BSE paradigm is provided, and the mean-square prediction(More)
Existing blind source extraction (BSE) methods are limited to noise-free mixtures, which is not realistic. We therefore address this issue and propose an algorithm based on the normalised kurtosis and a nonlinear predictor within the BSE structure, which makes this class of algorithms suitable for noisy environments, a typical situation in practice. Based(More)
This research aims to develop a new sensor-based localization technique which is exclusively used for forest fire detecting systems. Our algorithm addresses three key criteria of forest fire detecting systems deployed in nature, which are: low complexity, high efficiency and low power consumption, by the 2 features: estimating a grid-based output and(More)
The aim of this study is to detect the occurrence of microsleep events in an overnight driving task. We propose a biosignal analysis method for the detection and extraction of microsleep events. This is achieved by employing blind source extraction method based on a cascaded nonlinear estimator to extract the relevant microsleep events. The cascaded(More)