Wai Yie Leong

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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 kur-tosis 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)
A blind nonlinear interference cancellation receiver for code-division multiple-access-(CDMA-) based communication systems operating over Rayleigh flat-fading channels is proposed. The receiver which assumes knowledge of the signature waveforms of all the users is implemented in an asynchronous CDMA environment. Unlike the conventional MMSE receiver, the(More)
—An extension of blind source extraction (BSE) of one or a group of sources to the case of ill—conditioned and post-non-linear (PNL) mixing is introduced. This is achieved by a " mixed objective " type of cost function which jointly maximizes the kur-tosis of a recovered source and estimates a measure of nonlinearity within the mixing system. This helps to(More)
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