Ee-Luang Ang

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We present an artificial neural-network-(NN-) based smart interface framework for sensors operating in harsh environments. The NN-based sensor can automatically compensate for the nonlinear response characteristics and its nonlinear dependency on the environmental parameters, with high accuracy. To show the potential of the proposed NN-based framework, we(More)
This paper presents a novel method called PNLICA for image extraction from nonlinear mixtures of mutually independent images. Post Nonlinear Mixtures (PNL) [8] is used for modelling the mixing process. A modified Multilayer Perceptron (MLP) is combined with a higher order statistics linear Independent Component Analysis (ICA) model to sequentially extract(More)