- What the FFT analysis of a signal tells us about the signal?
- How do you find the frequency of a signal using FFT?
- How to understand FFT?
- What is sample spacing in FFT?
What the FFT analysis of a signal tells us about the signal?
The output of the FFT is a complex vector containing information about the frequency content of the signal. The magnitude tells you the strength of the frequency components relative to other components. The phase tells you how all the frequency components align in time.
How do you find the frequency of a signal using FFT?
Let X = fft(x) . Both x and X have length N . Suppose X has two peaks at n0 and N-n0 . Then the sinusoid frequency is f0 = fs*n0/N Hertz.
How to understand FFT?
The FFT operates by decomposing an N point time domain signal into N time domain signals each composed of a single point. The second step is to calculate the N frequency spectra corresponding to these N time domain signals. Lastly, the N spectra are synthesized into a single frequency spectrum. separate stages.
What is sample spacing in FFT?
The frequency spacing is 1 Hz since samples are accumulated for 1 second.