what is the purpose of the fast fourier transform? a. it allows you to fit the plot with a trendline. b. it allows you to plot the velocity v. the position instead of velocity v. time. c. it takes the signal from the position domain and represents it in the frequency domain instead. d. it allows you to look at the trajectory of the device.

In the field of measuring audio and acoustics, the "Fast Fourier Transform" (FFT) is a crucial measurement technique. It breaks down a signal into its distinct spectral components, giving frequency information about the signal in the process.

What can you infer from an FFT plot?

A complex vector that contains details on the frequency content of the signal is the FFT's output. The magnitude reveals the frequency components relative strength to other components. You can see how each frequency component aligns in time by looking at the phase.

Linearity: The linearity is the sum of two functions that corresponds to the sum of two frequency spectra. The Fourier transform of the resulting function is multiplied by the same constant when we multiply a function by it.

A signal sampled in time or space is transformed using the Fourier transform mathematical formula into the same signal measured in time or space at a different frequency. The Fourier transform, which is used in signal processing, can make a signal's frequency components visible.

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tutorconsortium127 tutorconsortium127 · Answer 2 · 2022-11-08T05:09:58+01:00

The rapid Fourier transform's function is to convert a signal from the location domain to the frequency domain, which enables you to plot the velocity. The appropriate choices are c and d.

What is The quick Fourier transform?

Fast Fourier Transform, or FFT, is a crucial measurement technique. Through this technique, a signal's separate spectral components are broken down, and frequency information about the signal is also provided.
A complex vector that contains details on the frequency content of the signal is the FFT's output. In compared to other components, the magnitude represents the relative strength of the frequency components.
The discrete Fourier transform is a tool to transform particular sorts of sequences of functions into other types of representations. A fast Fourier transform (FFT) is an algorithm that calculates the discrete Fourier transform (DFT) of some sequence.
The rapid Fourier transform's function is to convert a signal from the location domain to the frequency domain, which enables you to plot the velocity. The appropriate choices are c and d.

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