Abstract
The power spectral density (PSD) function cannot detect nonlinear random processes which effect non-Gaussian contributions to the noise signal. For the characterization of non-Gaussian noise contributions, higher-order cumulant functions or their corresponding Fourier transforms must be considered (e.g. Hasselmann et al., 1963; Brillinger, 1965; Bendat and Piersol, 1982). The triple correlation function or the bispectrum, respectively, are the next higher approaches, provided that a skewness exists. There are also interesting applications to deterministic signals, which are often obscured by background noise (Sato and Sasaki, 1977; Lohmann and Wirnitzer, 1984).
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© 1989 Plenum Press, New York
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Piñeyro, J., Behringer, K. (1989). Bispectrum Estimation Using Overlapped Segments. In: Muñoz-Cobo, J.L., Difilippo, F.C. (eds) Noise and Nonlinear Phenomena in Nuclear Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5613-4_23
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DOI: https://doi.org/10.1007/978-1-4684-5613-4_23
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