Spectral Estimation From Irregular Arrays

The problem of spectral estimation from data sampled at irregularly distributed measurement locations is considered from the point of view of an optimal fit of a spectral model when the amount of data available is large but finite. Several methods are shown to be asymptotically equivalent to the optimal one (as the amount of data becomes large). A comparison of the estimation procedure with other methods is made, in which it is shown that an analysis of bias, aliasing, and estimation uncertainty can be made in a unified framework for a large class of methods.

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Author Bretherton, F.
McWilliams, J.
Publisher UCAR/NCAR - Library
Publication Date 1979-01-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:06:12.045992
Metadata Record Identifier edu.ucar.opensky::technotes:230
Metadata Language eng; USA
Suggested Citation Bretherton, F., McWilliams, J.. (1979). Spectral Estimation From Irregular Arrays. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7p84b8b. Accessed 26 November 2024.

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