Relationship between Fourier transform and Fourier series?

In summary, the Fourier series and the Fourier transform are related in that they are both mathematical tools used to analyze periodic functions. However, the Fourier series is a discrete representation while the Fourier transform is a continuous representation. They can be seen as two different ways of looking at the same thing, with the Fourier series giving the amplitude of each harmonic and the Fourier transform giving the spectrum of the signal.
  • #1
AstroSM
2
0
What is the relationship between the Fourier transform of a periodic function and the coefficients of its Fourier series?

I was thinking Fourier series a special version of Fourier transform, as in it can only be used for periodic function and only produces discrete waves. By this logic, aren't they the same thing then for this case?
 
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  • #2
Do a Fourier transform of a few short Fourier series (3-5 sin terms), or some simple ones like a square and a triangle wave, and you will see how it works.
 
  • #3
AstroSM said:
What is the relationship between the Fourier transform of a periodic function and the coefficients of its Fourier series?

I was thinking Fourier series a special version of Fourier transform, as in it can only be used for periodic function and only produces discrete waves. By this logic, aren't they the same thing then for this case?
Take a signal g(t) = sin(wt). The Fourier series is of course sin(wt).
The Fourier integral is quite different: G(f) = (1/j2) [δ(f - f0) - δ(f + f0)]
with the inversion g(t) = ∫ from -∞ to +∞ of G(f)exp(jωt) df, ω ≡ 2πf.

You can determine the output of a transfer function H(f) with the Fourier integral: Y(f) = G(f) H(f). Then y(t) = F-1Y(f).
With the Fourier series of a signal with many harmonics you have to determine the effect of each harmonic separately, then add. Very cumbersome.
You can also handle a step-sine signal U(t)sin(ω0t) with the transform but not with the series, the latter assuming a signal stretching from -∞ to +∞.
The series gives an accurate description of an arbitrary periodic function; each coefficient represents the amplitude of each harmonic.
The integral is called the "spectrum" of the signal. I've always had some problem thinking of a spectrum of a pulse, but there it is.
 
  • #4
AstroSM said:
What is the relationship between the Fourier transform of a periodic function and the coefficients of its Fourier series?

I was thinking Fourier series a special version of Fourier transform, as in it can only be used for periodic function and only produces discrete waves. By this logic, aren't they the same thing then for this case?
I think of it the other way around! As you take the length of one period going to infinity, the Fourier series goes to the Fourier transform.
 

FAQ: Relationship between Fourier transform and Fourier series?

What is the Fourier transform?

The Fourier transform is a mathematical tool used to break down a signal or function into its component frequencies. It converts a signal from its original representation (often a function of time or space) to a representation in the frequency domain. This allows us to analyze the signal and identify the different frequencies present.

What is the Fourier series?

The Fourier series is a way to represent a periodic function as a sum of simple sine and cosine functions. It is used to decompose a periodic signal into its constituent frequencies. The coefficients of the Fourier series tell us the amplitudes and phases of the different frequencies in the original signal.

How are the Fourier transform and Fourier series related?

The Fourier transform and Fourier series are closely related mathematical concepts. The Fourier transform is the continuous version of the Fourier series, which is discrete. The Fourier series can be thought of as a special case of the Fourier transform, where the signal is periodic. Both are used to analyze signals and decompose them into their constituent frequencies.

What is the difference between the Fourier transform and Fourier series?

The main difference between the Fourier transform and Fourier series is that the Fourier transform can be used for both periodic and non-periodic signals, while the Fourier series is only applicable to periodic signals. Additionally, the Fourier transform uses continuous functions while the Fourier series uses discrete functions.

How are the Fourier transform and Fourier series used in practical applications?

The Fourier transform and Fourier series have numerous practical applications, especially in fields such as signal processing, image processing, and data compression. They are used to analyze and manipulate signals in these fields, allowing for tasks such as noise reduction, image enhancement, and data compression. They are also used in mathematics and physics to solve differential equations and study wave phenomena.

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