A Novel Framework for Signal Representation and Source Separation: Applications To Filtering and Segmentation of Biosignals. Clifford, G., D. Journal of Biological Systems, 14(02):169-183, 6, 2006. abstract bibtex A general technique for representing quasi-periodic oscillations, typical of biomedical signals, is described. Using energy thresholding and Gaussian kernels, in conjunction with a nonlinear gradient descent optimization, it is shown that significant noise reduction, compression and turning point location is possible. As such, the signal representation model can be considered a formof correlated source separation. Applications to filtering, modelling and robust ECG QT-analysis are described.
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abstract = {A general technique for representing quasi-periodic oscillations, typical of biomedical signals, is described. Using energy thresholding and Gaussian kernels, in conjunction with a nonlinear gradient descent optimization, it is shown that significant noise reduction, compression and turning point location is possible. As such, the signal representation model can be considered a formof correlated source separation. Applications to filtering, modelling and robust ECG QT-analysis are described.},
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