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PDF The Fundamentals of FFT-Based Signal Analysis and Measurement

The basic functions for FFT-based signal analysis are the FFT the Power Spectrum and the Cross Power Spectrum Using these functions as building blocks you 

  • What is the basic of FFT analysis?

    The fast Fourier transform (FFT) is a computational tool that transforms time-domain data into the frequency domain by deconstructing the signal into its individual parts: sine and cosine waves.
    This computation allows engineers to observe the signal's frequency components rather than the sum of those components.10 nov. 2023

  • What is the principle of FFT?

    FFT convolution uses the principle that multiplication in the frequency domain corresponds to convolution in the time domain.
    The input signal is transformed into the frequency domain using the DFT, multiplied by the frequency response of the filter, and then transformed back into the time domain using the inverse DFT.

  • The basic functions for FFT-based signal analysis are the FFT, the Power Spectrum, and the Cross Power Spectrum.
    Using these functions as building blocks, you can create additional measurement functions such as frequency response, impulse response, coherence, amplitude spectrum, and phase spectrum.

  • How to interpret FFT data?

    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.

  • The basic functions for FFT-based signal analysis are the FFT, the Power Spectrum, and the Cross Power Spectrum. Using these functions as building blocks, you  Autres questions
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