Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
508154 | Computers & Geosciences | 2010 | 8 Pages |
Abstract
We propose a method for Fourier spectral analysis of unevenly spaced data which correspond to averages of a given quantity; the method is particularly adapted to data from counting, such as specimen counts from borehole samples. The method is extremely straightforward and takes into account the effects of data averaging. A Monte Carlo approach is used to evaluate possible effects of random errors in time determinations and in counting; probabilities for different possible spectral values are estimated. The method is implemented as a Matlab function.
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Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
F. Alejandro Nava,