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Recently, one of the authors has reported that the amount of generated musical noise is strongly correlated with higher-order statistics of the power spectra. On the basis of this finding, in this paper, we provide a new theoretical analysis of the amount of musical noise generated via the Wiener filtering family. Our theoretical analysis allows the universal performance description from the viewpoint...
In this paper, we provide a new theoretical analysis of the amount of musical noise generated via iterative spectral subtraction based on higher-order statistics. To achieve high-quality noise reduction with low musical noise, the iterative spectral subtraction method, i.e., recursively applied weak nonlinear signal processing, has been proposed. Although the effectiveness of the method has been reported...
In this paper we present a novel method for the estimation of the shape parameter of the Generalized Gaussian Distribution (GGD) function for the leptokurtic and Gaussian signals by matching negentropy of GGD function and that of data approximated by some non-polynomial functions. The negentropy of GGD function is monotonic function of its shape parameter for values corresponding to super-Gaussian...
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