dft of rectangular pulse


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PDF Fourier Transform Pairs

Inverse DFT of the rectangular pulse In the frequency domain the pulse has an amplitude of one and runs from sample number 0 through sample number M-1 

PDF Discrete Fourier Transform Lesson 11 5DT

Since the computer can only process discrete functions of finite time we have to define a new Fourier Transform called the Discrete Fourier Transform DFT – 

PDF Digital Signal Processing

The DFT of Rectangular Functions ▫ DFT of a rectangular function ▫ One of signal containing a single finite-width pulse ▫ Magnitude of its continuous 

PDF DFT of a square wave

DFT of a rectangular pulse where sinc x limt→x sin πt πt is an even function that evaluates to 1 at 0 and 0 at all other integers Finally if x is a 

  • “The DFT of a square is a sinc and the DFT of a sinc is a square.” A sinc is the DFT of a square wave, but it is the inverse DFT of a square wave as well Multiplying through by F yields an analysis equation.
    This kind of pairing relationship exists whenever x and X are both real.

  • What is the mathematical representation of the rectangular pulse?

    The rectangular pulse is defined as(2.22)ΠLT(t)={A-LT2≤t≤LT20otherwisewhere A is the amplitude of the pulse and L is an integer.

  • What is the DFT of a given signal?

    The Discrete Fourier Transform (DFT) is of paramount importance in all areas of digital signal processing.
    It is used to derive a frequency-domain (spectral) representation of the signal.

  • Example: DFT of a rectangular pulse: x(n) = { 1, 0 ≤ n ≤ (N − 1), 0, otherwise. the rectangular pulse is “interpreted” by the DFT as a spectral line at frequency ω = 0.
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