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But in the real world, hardly anything is measured continuously. For example, stream discharges are NOT. They are sampled at a given frequency (taking real continuous phenomena and sampling them is called "discretizing").
The fast fourier transform is an algorithm that allows discretized data to be "transformed" into the frequency domain. It works fastest for data whose length is a power of 2. Basically taking a signal in the time domain and transforming it into a frequency domain so that its frequency components can be examined. Streamflow, for example, would have strong frequency components at a daily and yearly frequency, but not much in between.
Google "frequency domain" if you want.
Mike |
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