FFT to work out optimum number of samples to average

1. How many samples do I need for FFT?
2. How many points do you need for FFT?
3. What are FFT points?

How many samples do I need for FFT?

The number of samples (N) in the FFT must be an integer power of 2. Therefore, N = 2^p, where p is a positive integer. This rule minimizes the number of multiplications—and therefore the computation time—needed to compute the coefficients of the Fourier series.

How many points do you need for FFT?

Because the FFT function uses a base 2 logarithm by definition, it requires that the range or length of the time series to be evaluated contains a total number of data points precisely equal to a 2-to-the-nth-power number (e.g., 512, 1024, 2048, etc.).

What are FFT points?

The more points we have, the higher our frequency resolution is. This is our "fft poitns" - the amount of points in the FFT. A 2 point fft would have to sample inputs and two frequency bins. A 2024 point FFT would take 2024 points on the input and output 2024 frequency points.