The Removal of Impulse Noise in Music Signals Using Higher-Order Spectra
This paper proposes a new method to restore music signals corrupted by impulsive noise. Since the probability density function of the music signals can be approximated by Gaussian distribution, the non-linear nature of the impulsive noises becomes prominent in the cumulant spectra of the music signals. Such feature enables the use of the higher-order spectra to detect the presence of the impulse noise. The music signals can then be restored by extracting the impulse noise.
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