Fourier in 4D?

A quick note for reference. Timeseries image or grid data can be fourier decomposed to create a new image dataset of the timeseries. This is based on work by Rogers at Oxford University. The components extracted from a timeseries are the amount (mean), variability (annual amplitude) and timing (annual phase). Various classification methods can then be used on the data e.g discriminant analysis, decision trees etc.

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