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The Fourier transform is derived from the Fourier series.

Let's begin by writing down the formula for the complex form of the Fourier Series:

x ( t ) = n = - c n e j n Ω 0 t

as well as the corresponding Fourier Series coefficients:

c n = 1 T t 0 t 0 + T x ( t ) e - j n Ω 0 t d t

As was mentioned in Chapter 2, as the period T gets large, the Fourier Series coefficients represent more closely spaced frequencies. Lets take the limit as the period T goes to infinity. We first note that the fundamental frequency approaches a differential

Ω 0 = 2 π T d Ω

consequently

1 T = Ω 0 2 π d Ω 2 π

The n th harmonic, n Ω 0 , in the limit approaches the frequency variable Ω

n Ω 0 Ω

From equation [link] , we have

c n T - x ( t ) e - j Ω t d t

The right hand side of [link] is called the Fourier Transform of x ( t ) :

X ( j Ω ) - x ( t ) e - j Ω t d t

Now, using [link] , [link] , and [link] in equation [link] gives

x ( t ) = 1 2 π - X ( j Ω ) e j Ω t d Ω

which corresponds to the inverse Fourier Transform . Equations [link] and [link] represent what is known as a transform pair . The following notation is used to denote a Fourier Transform pair

x ( t ) X ( j Ω )

We say that x ( t ) is a time domain signal while X ( j Ω ) is a frequency domain signal. Some additional notation which is sometimes used is

X ( j Ω ) = F x ( t )

and

x ( t ) = F - 1 X ( j Ω )

References

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Source:  OpenStax, Signals, systems, and society. OpenStax CNX. Oct 07, 2012 Download for free at http://cnx.org/content/col10965/1.15
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