1989 | OriginalPaper | Buchkapitel
Bispectral Characterization of Ocean Acoustic Time Series: Nonlinearity and Non-Gaussianity
verfasst von : Patrick L. Brockett, Melvin Hinich, Gary R. Wilson
Erschienen in: Topics in Non-Gaussian Signal Processing
Verlag: Springer New York
Enthalten in: Professional Book Archive
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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.