The DFT and FFT are used mainly to obtain the amplitude of a harmonic component from a periodic signal containing several harmonics. For instance, it is desired to know the 180 Hz harmonic amplitude from a signal. Then, the DFT and FFT are the best choices to do that.

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[1] Tiago Davi Curi Busarello, "Understanding Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Simulation and Digital Implementation by means of blocks, not C-code", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/nq40-z057. Accessed: Jul. 13, 2024.
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doi = {10.21227/nq40-z057},
url = {http://dx.doi.org/10.21227/nq40-z057},
author = {Tiago Davi Curi Busarello },
publisher = {IEEE Dataport},
title = {Understanding Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Simulation and Digital Implementation by means of blocks, not C-code},
year = {2019} }
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T1 - Understanding Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Simulation and Digital Implementation by means of blocks, not C-code
AU - Tiago Davi Curi Busarello
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PB - IEEE Dataport
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Tiago Davi Curi Busarello. (2019). Understanding Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Simulation and Digital Implementation by means of blocks, not C-code. IEEE Dataport. http://dx.doi.org/10.21227/nq40-z057
Tiago Davi Curi Busarello, 2019. Understanding Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Simulation and Digital Implementation by means of blocks, not C-code. Available at: http://dx.doi.org/10.21227/nq40-z057.
Tiago Davi Curi Busarello. (2019). "Understanding Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Simulation and Digital Implementation by means of blocks, not C-code." Web.
1. Tiago Davi Curi Busarello. Understanding Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Simulation and Digital Implementation by means of blocks, not C-code [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/nq40-z057
Tiago Davi Curi Busarello. "Understanding Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Simulation and Digital Implementation by means of blocks, not C-code." doi: 10.21227/nq40-z057