Fourier transform math

From Psych 221 Image Systems Engineering
Revision as of 00:24, 16 March 2012 by imported>Psych204B (Fourier Series)
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This page describes some of the math you need for the Fourier transform, as well as deriving some of the formulas you might see thrown around. I'm not a math person, so this is not meant to be as accurate or precise as you will probably see elsewhere. I am including many links to tutorials I found useful in this process.

Fourier Series

Any repeating waveform can be written as an infinite sum of sine and cosine waves at frequencies from 0 toinfinity. Each sine and cosine wave at each frequency will have a coefficient, or amplitude, that shows how much that sine and cosine wave contributes to describing the repeating waveform. For example, suppose we have a waveform that has a lot of "sine wave at f = 3" character. The coefficient of the sine wave at f = 3 will thus have a large coefficient.