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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 title = {A Novel Framework for Signal Representation and Source Separation: Applications To Filtering and Segmentation of Biosignals},
 type = {article},
 year = {2006},
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 keywords = {ecg,gradient descent,model-based filtering,nonlinear least squares op-,qt-analysis,segmentation,source separation,timization},
 pages = {169-183},
 volume = {14},
 month = {6},
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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.},
 bibtype = {article},
 author = {Clifford, Gari D.},
 journal = {Journal of Biological Systems},
 number = {02}
}
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