- How the frequency domain correlates to the time-domain representation?
- How do you normalize FFT amplitude?
- Does amplitude affect FFT?
- How do you convert time-domain to frequency domain in FFT?
How the frequency domain correlates to the time-domain representation?
As stated earlier, a time-domain graph displays the changes in a signal over a span of time, and frequency domain displays how much of the signal exists within a given frequency band concerning a range of frequencies.
How do you normalize FFT amplitude?
Normalise the fft by dividing it by the length of the original signal in the time domain. Zero values within the signal are considered to be part of the signal, so 'non-zero samples' is inappropriate. The length to use to normalise the signal is the length before adding zero-padding.
Does amplitude affect FFT?
Such amplitudes can be pretty high and affect FFT results, (with no window function, it can be about 10% of the original values for about 10 neighbor lines). If there is another sine wave in the signal in this region, which is lower than this 10%, it will be completely hidden by the leakage effect.
How do you convert time-domain to frequency domain in FFT?
Simply stated, the Fourier transform converts waveform data in the time domain into the frequency domain. The Fourier transform accomplishes this by breaking down the original time-based waveform into a series of sinusoidal terms, each with a unique magnitude, frequency, and phase.