Difference between revisions of "Fourier Transform"

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Fourier Series equation <math> f(\omega)= \int f(x) e^{-i \omega x } dx </math>
Fourier Series equation <math> f(\omega)= \int f(x) e^{-i \omega x } dx </math>


Eulers formula <math>e^{ix} = \cos {\omega x} + i\sin {\omega x},</math>
Eulers formula <math>e^{i \omega x} = \cos {\omega x} + i\sin {\omega x},</math>


-From [[Video/The Fourier Series and Fourier Transform Demystified | The Fourier Series and Fourier Transform Demystified]]<ref>{{:Video/The Fourier Series and Fourier Transform Demystified}}</ref>
-From [[Video/The Fourier Series and Fourier Transform Demystified | The Fourier Series and Fourier Transform Demystified]]<ref>{{:Video/The Fourier Series and Fourier Transform Demystified}}</ref>


In this equation  
In this equation f(x) is the time function we're calculating the Fourier series for. Then we times it by exponential<math>e^{i \omega x}</math>.


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Revision as of 11:53, 31 July 2022

Fourier Transform(Q6520159)

Fourier Transform [1] is the next level of the Fourier Series, it comes up with a way to approximate hole functions by using exponentials that means, unlike Fourier Series can only approximate a function on an interval, now we can approximate functions that are infinitely long.

Example for Fourier transform: We have a signal called we will represent it in terms of the time domain. We also can represent it in another way which is called we will represent it in terms of the frequency domain and This is why we called transformation. Fourier Transform is an equivalent representation of the signal.

Fourier Series equation

Eulers formula

-From The Fourier Series and Fourier Transform Demystified[2]

In this equation f(x) is the time function we're calculating the Fourier series for. Then we times it by exponential.


References

Related Pages