How Does the Fourier Transform Relate to Derivatives in Signal Processing?

In summary, there is a relationship between derivatives and transforms that can be expressed using the hat notation. By applying certain rules and equations, you can determine the derivative of a transformed function.
  • #1
nhrock3
415
0
cant understand this transformation
i know that each derivative pops iw
and
[tex]\hat{y}' ->-ixy(x)[/tex]
[tex]\hat{y}'(\omega) ->-ixy(x)[/tex]
x is a signs of derivative

but i don't know how its been done in here
[tex]-ixy'(x)=(i\omega \hat{y}(w))'[/tex]
how they decided that is the derivative of this whole expression
muliplying by x means derivative
but here it something else
[tex]
f[xy'(\omega )]=i\frac{\mathrm{d} }{\mathrm{d} \omega}f[y'(x)]=i(i\omega \hat{y}(\omega))'=i(i \hat{y}(\omega)+i\omega \hat{y}'(\omega))[/tex]
i can't see what laws they follow here
?
 
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  • #2
nhrock3 said:
cant understand this transformation
i know that each derivative pops iw
and
[tex]\hat{y}' ->-ixy(x)[/tex]
[tex]\hat{y}'(\omega) ->-ixy(x)[/tex]
x is a signs of derivative

but i don't know how its been done in here
[tex]-ixy'(x)=(i\omega \hat{y}(w))'[/tex]
how they decided that is the derivative of this whole expression
muliplying by x means derivative
but here it something else

I think you need to be more careful about the relation between derivatives and transforms. That last equation doesn't make any sense as it is written because you have a function of x = a function of omega. I also don't think it is transcribed correctly. You must mean one is the transform of the other.

Using the hat notation for the transform you have the following three relationships between transforms and derivatives:

[tex] y(x) \leftrightarrows \hat y(\omega)[/tex]

[tex] -ixy(x) \leftrightarrows \hat y'(\omega)[/tex]

[tex] y'(x) \leftrightarrows i\omega \hat y(\omega)[/tex]

To get your identity you start with the second one above:

[tex] -ixy(x) \leftrightarrows \hat y'(\omega)[/tex]

Now apply the third one to this last one by multiplying the right side by [itex]i\omega[/itex]:

[tex] (-ixy(x))' \leftrightarrows i\omega \hat y'(\omega)[/tex]

Maybe that will help you.

[Edit - added later]

Here's your identity:

Start with 3:

[tex] y'(x) \leftrightarrows i\omega \hat y(\omega)[/tex]

Now multiply the left side by -ix and apply the second one at the top:

[tex] -ixy'(x) \leftrightarrows (i\omega \hat y(\omega))'[/tex]
 
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FAQ: How Does the Fourier Transform Relate to Derivatives in Signal Processing?

What is a Fourier transform?

A Fourier transform is a mathematical operation that decomposes a function into its constituent frequencies. It transforms a function from the time or spatial domain to the frequency domain, allowing for the analysis of periodic or non-periodic signals.

What is the purpose of a Fourier transform?

The purpose of a Fourier transform is to break down a complex signal into simpler components, making it easier to analyze. It is especially useful in signal processing, image processing, and data compression.

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

A Fourier transform is used for continuous and non-periodic signals, while a Fourier series is used for discrete and periodic signals. A Fourier transform gives a continuous spectrum of frequencies, while a Fourier series gives a discrete series of harmonics.

How is a Fourier transform calculated?

A Fourier transform is calculated using an integral or summation, depending on the type of signal being transformed. The integral or summation takes the input signal and converts it into a representation in the frequency domain.

What are some real-world applications of Fourier transform?

Fourier transform has many applications in various fields such as engineering, physics, and mathematics. Some examples include audio and image processing, signal filtering, medical imaging, and financial analysis.

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