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Compositing analysis (also called superposed epoch analysis) is to
sort
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time series into different categories (or phases) and to compare
means
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in these categories.
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For example, how do Pacific SST evolve before, during, and after an
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El Nino event? In this case, there are three categories (before,
during,
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and after) in the composite analysis.
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Compositing is useful when you have many observations of some
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event and you are looking for responses to that event that are
combined
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with noise from a lot of other influences.
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The basic idea of the compositing analysis is that the averaging
process
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will remove noise and keep the signals of interest.
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Often compositing will reveal periodic phenomena with fixed phase
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that cannot be extracted from spectral analysis if the signal is
small
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compared to the noise.
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