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note Basically, he is saying that the Fourier transform works for stuff that is continuous. New

Forum: LiquidLounge
Re: note Good old BT, distracting me from work.   Who wants to hear all about 1.4 Q-distributions in mixed hardwood stands? <NT> 5-Hole_girl New
Re: smile bring it on - when your finished can we discuss the Fourier analysis of my cushion degradation test?... ronzo New
Re: note Don't fall for it, all his fourier transformations are fast. <NT> rroberts New
Re: note For those of you without a technical education, Rick has just... buynoski New
Re: idea well that cleared that right up......... joemess New
Date: Apr 26 2005, 22:17 GMT
From: arrmike

arrmike
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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