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  1. The purpose of this chapter is to introduce another representation of discrete-time signals, the discrete Fourier transform (DFT), which is closely related to the discrete-time Fourier transform, and can be implemented either in digital hardware or in soft-ware.

  2. Discrete Fourier Transform, atau hanya disebut sebagai DFT, adalah algoritma yang mengubah sinyal domain waktu menjadi komponen domain frekuensi. DFT, seperti namanya, benar-benar terpisah; set data domain waktu diskrit diubah menjadi representasi frekuensi diskrit.

  3. In mathematics, the discrete Fourier transform (DFT) converts a finite sequence of equally-spaced samples of a function into a same-length sequence of equally-spaced samples of the discrete-time Fourier transform (DTFT), which is a complex-valued function of frequency.

  4. 22 Μαΐ 2022 · The Discrete Fourier Transform (DFT) allows the computation of spectra from discrete-time data. While in discrete-time we can exactly calculate spectra, for analog signals no similar exact spectrum computation exists.

  5. The discrete Fourier transform (DFT) is the transform that deals with a finite discrete-time signal and a finite or discrete number of frequencies. It is an equivalent of the continuous Fourier Transform of signals known only at N instants separated by sample time T s (i.e., for a finite sequence of data).

  6. Lecture 7 -The Discrete Fourier Transform 7.1 The DFT The Discrete Fourier Transform (DFT) is the equivalent of the continuous Fourier Transform for signals known only at instants separated by sample times (i.e. a finite sequence of data). Let be the continuous signal which is the source of the data. Let samples be denoted

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