fast fourier transform algorithm explained


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The DFT usually arises as an approximation to the continuous Fourier transform when functions are sampled at discrete intervals in space or time

  • What is fast Fourier transform simple explanation?

    The "Fast Fourier Transform" (FFT) is an important measurement method in the science of audio and acoustics measurement.
    It converts a signal into individual spectral components and thereby provides frequency information about the signal.

  • A radix-2 decimation-in-time (DIT) FFT is the simplest and most common form of the Cooley–Tukey algorithm, although highly optimized Cooley–Tukey implementations typically use other forms of the algorithm as described below.

  • How does FFT algorithm work?

    The FFT algorithm decomposes the DFT into log2 N stages, each of which consists of N/2 butterfly computations.
    Each butterfly takes two complex numbers p and q and computes from them two other numbers, p + αq and p − αq, where α is a complex number.

  • How do you interpret a fast Fourier transform?

    Frequency is plotted along the x-axis and amplitude is plotted along the y-axis.
    FFTs often look like a series of mountain peaks.
    The horizontal location of peaks indications which frequencies are strongly present in the sound.
    The valleys show which frequencies are absent.

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