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Noise reduction is a subject of importance in many applications of signal processing such as communication, instrumentation, etc. In a recent paper (Callaerts et al., 1988), singular value decomposition (SVD) has been shown to be a very robust and numerically reliable tool for extracting the desired signals from noisy data. Along similar lines, in this paper, we explore the application of SVD for...
In this paper, we propose an adaptive algorithm using Newton's method for the enhancement of EEG signals in the presence of EOG artefacts. We consider two models for the noise (i.e., artefacts) estimation: (i) the conventional linear model and (ii) a nonlinear model using second-order Volterra function. Application of Newton's method to the linear case results in the conventional recursive least-squares...
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