Physical meaning of a fourier transform?

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SUMMARY

The discussion centers on the practical applications of the Fourier transform in various fields, emphasizing its role in signal processing, optics, and medical imaging. Key examples include the far-field scattering pattern of light, which is the Fourier transform of the aperture, and the Laue pattern in crystallography, representing the charge distribution within a unit cell. Additionally, the voltage induced in MRI coils is identified as the Fourier transform of tissue magnetization, highlighting its significance in analyzing complex signals and systems.

PREREQUISITES
  • Understanding of Linear Time-Invariant (LTI) systems
  • Familiarity with signal processing concepts
  • Basic knowledge of optics and light behavior
  • Awareness of Magnetic Resonance Imaging (MRI) principles
NEXT STEPS
  • Explore the application of Fourier transforms in electrical signal processing, particularly in audio equalization.
  • Investigate the role of Fourier transforms in optics, focusing on the relationship between pupil and focal planes.
  • Learn about the use of Fourier transforms in crystallography and the analysis of Laue patterns.
  • Study the implementation of Fast Fourier Transform (FFT) algorithms for efficient frequency analysis in various applications.
USEFUL FOR

This discussion is beneficial for signal processing engineers, optical physicists, medical imaging professionals, and anyone interested in the practical applications of Fourier transforms in real-world scenarios.

dst
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Are there any "real" examples of a Fourier transform being applied? When we see that something accelerates and then moves we can say its acceleration is being "integrated" to get a velocity, but what meaning does a Fourier transform have? I understand it's used in spectroscopy but I mean "natural" applications only.
 
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maybe it's just because i work in signal processing, but the concept of breaking a virtually arbitrary signal into a sum of sinusoids (more specifically e^{i \omega t}) is an extremely useful application and does a good job of representing the physical situation, particularly for Linear, Time-Invariant (LTI) systems.
 
dst said:
Are there any "real" examples of a Fourier transform being applied?
In every application I know, a Fourier transform is nothing more than a change of basis; it simply allows you to represent the same object in a different way.
 
The far-field scattering pattern for light is (under certain conditions) the Fourier transform of the aperture. In crystallography and such, the scattering pattern (Laue pattern) is the Fourier transform of the charge distribution within a unit cell.

Fourier transforms are used a lot in optics. It has a very physical application- the optical field at a focal plane is the Fourier transform of the optical field at the opposite pupil plane.

Electrical signal processing is another real-world use: the equalizer on a stereo, or windoze media player. Guitar effects can work via manipulating the frequency content.
 
dst said:
Are there any "real" examples of a Fourier transform being applied? When we see that something accelerates and then moves we can say its acceleration is being "integrated" to get a velocity, but what meaning does a Fourier transform have? I understand it's used in spectroscopy but I mean "natural" applications only.
In MRI (Magnetic Resonance Imaging) the voltage that is physically induced in the receive coil is the Fourier transform of the tissue magnetization.
 
Along what rbj mentioned, without an FFT, frequency analysis of vibrations on a running jet engine would be impossible. Looking at the frequency domain instead of the time domain is about a factor of 1 bazillion times easier.
 
Thanks, good examples. It's hard to visualise what would be meant by such a thing. I was asking especially for cases where it happens automatically, i.e. by nature like:

the optical field at a focal plane is the Fourier transform of the optical field at the opposite pupil plane

the voltage that is physically induced in the receive coil is the Fourier transform of the tissue magnetization

Nonetheless, my mind is at rest :)
 

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