© 1974 by Biometrika Trust
Spectral moment estimation by means of level crossings
Department of Mathematical Statistics, University of Lund
Three types of estimator of the second spectral moment of a stationary Gaussian process are considered. The integral estimator is based on the integral of the squared derivative of the process, while crossing estimators make use of the number of upcrossings of zero or nonzero levels. It is shown that the zero-crossing estimator can often compete with the integral estimator in efficiency and that it can be considerably improved by the additional use of nonzero levels.
Key Words: Level crossings Spectral moments Stationary normal processes Time-series estimation Zero-crossings
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