Abstract
Previous research into the Gaussianity of ocean acoustical time series has examined univariate marginal densities. In this paper we present research which examines this issue from a time series point of view. Even series which previously passed univariate tests for normality are shown to be non-Gaussian time series. Additionally, these time series are shown to be nonlinear time series, so that such acoustical series must be modeled in a nonlinear fashion.
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Brockett, P.L., Hinich, M., Wilson, G.R. (1989). Bispectral Characterization of Ocean Acoustic Time Series: Nonlinearity and Non-Gaussianity. In: Wegman, E.J., Schwartz, S.C., Thomas, J.B. (eds) Topics in Non-Gaussian Signal Processing. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8859-3_1
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DOI: https://doi.org/10.1007/978-1-4613-8859-3_1
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