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Physics would be one of a few examples of fourier transform. One would also use it when they are using engineering so, yeah that is basically it as far as the fourier transform is concerned.

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Q: When would one use the Fourier Transform?
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Where is the Discrete Fourier Transform used?

The Discrete Fourier Transform is used with digitized signals. This would be used if one was an engineer as they would use this to calculate measurements required.


Why you use fast fourier transform?

The fast fourier transform, which was invented by Tukey, significantly improves the speed of computation of discrete fourier transform.


How do you find fourier transform?

A: Any electronics reference book will contain Fourier model transformation. It is just a matter to look them up and which to use for what.


What is the use of the Laplace transform in industries?

The use of the Laplace transform in industry:The Laplace transform is one of the most important equations in digital signal processing and electronics. The other major technique used is Fourier Analysis. Further electronic designs will most likely require improved methods of these techniques.


For what purpose you use fourier transform in real life?

we use fourier transform to convert our signal form time domain to frequency domain. This tells us how much a certain frequency is involve in our signal. It also gives us many information that we cannot get from time domain. And we can easily compare signals in frequency domain.


Difference between fourier series and z-transform?

Laplace = analogue signal Fourier = digital signal Notes on comparisons between Fourier and Laplace transforms: The Laplace transform of a function is just like the Fourier transform of the same function, except for two things. The term in the exponential of a Laplace transform is a complex number instead of just an imaginary number and the lower limit of integration doesn't need to start at -∞. The exponential factor has the effect of forcing the signals to converge. That is why the Laplace transform can be applied to a broader class of signals than the Fourier transform, including exponentially growing signals. In a Fourier transform, both the signal in time domain and its spectrum in frequency domain are a one-dimensional, complex function. However, the Laplace transform of the 1D signal is a complex function defined over a two-dimensional complex plane, called the s-plane, spanned by two variables, one for the horizontal real axis and one for the vertical imaginary axis. If this 2D function is evaluated along the imaginary axis, the Laplace transform simply becomes the Fourier transform.


What has the author David W Grooms written?

David W. Grooms has written: 'The use of computers in solving mathematical problems' 'Magnetohydrodynamic generators in power generation' 'Applications of the fast fourier transform' -- subject(s): Abstracts, Bibliography, Fourier transformations, Signal processing 'Management games'


Why you use sloven's f?

The "sloven's f" is a mathematical symbol used to represent the Fourier transform of a function in signal processing and mathematics. It helps to analyze the frequency components of a given signal or function.


What has the author Valentin Boriakoff written?

Valentin Boriakoff has written: 'Feasibility study, software design, layout and simulation of a two-dimensional fast Fourier transform machine for use in optical array interferometry'


If you had to measure the amount of sulfur dioxide coming out of a volcano what instrument would you use?

A commonly used instrument to measure sulfur dioxide emission from a volcano is a UV spectrometer. This instrument can detect and quantify sulfur dioxide by measuring the absorption of ultraviolet light at specific wavelengths. Other methods, such as Fourier-transform infrared spectroscopy, can also be used for this purpose.


What is the application of Fourier series in civil engineering?

when we have need to know the temperature in a bar about any distance we can use fourier series to know that and then we can apply sufficient temperature.


Why you use one sided z transform?

to incorporate initial conditions when solving difference equations using the z-transform approach