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Acoustic Impulsive Noise Based on Non-Gaussian Models: An Experimental Evaluation.


ABSTRACT: In general, acoustic channels are not Gaussian distributed neither are second-order stationary. Considering them for signal processing methods designed for Gaussian assumptions is inadequate, consequently yielding in poor performance of such methods. This paper presents an analysis for audio signal corrupted by impulsive noise using non-Gaussian models. Audio samples are compared to the Gaussian, ? -stable and Gaussian mixture models, evaluating the fitting by graphical and numerical methods. We discuss fitting properties as the window length and the overlap, finally concluding that the ? -stable model has the best fit for all tested scenarios.

SUBMITTER: Pena D 

PROVIDER: S-EPMC6631147 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Acoustic Impulsive Noise Based on Non-Gaussian Models: An Experimental Evaluation.

Pena Danilo D   Lima Carlos C   Dória Matheus M   Pena Luan L   Martins Allan A   Sousa Vicente V  

Sensors (Basel, Switzerland) 20190625 12


In general, acoustic channels are not Gaussian distributed neither are second-order stationary. Considering them for signal processing methods designed for Gaussian assumptions is inadequate, consequently yielding in poor performance of such methods. This paper presents an analysis for audio signal corrupted by impulsive noise using non-Gaussian models. Audio samples are compared to the Gaussian, α -stable and Gaussian mixture models, evaluating the fitting by graphical and numerical methods. We  ...[more]

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