Fft averaging

1. Can you average an FFT?
2. What is spectral averaging?
3. How does averaging reduce noise?
4. What is 64 point FFT?

Can you average an FFT?

You can perform averaged measurements on an FFT channel to improve measurement accuracy or to help compensate for a low signal-to-noise ratio.

What is spectral averaging?

Spectral averaging is a different approach and is a type of ensemble averaging, which means that the “sample” and “mean value” are both spectra. The “mean value” spectrum results from averaging “sample” spectra. It isn't quite that simple though, because of the nature of the spectra.

How does averaging reduce noise?

Averaging has the power to reduce noise without compromising detail, because it actually increases the signal to noise ratio (SNR) of your image. An added bonus is that averaging may also increase the bit depth of your image — beyond what would be possible with a single image.

What is 64 point FFT?

The 64-point FFT is realized by decomposing it into a two-dimensional structure of 8-point FFTs. This approach reduces the number of required complex multiplications compared to the conventional radix-2 64-point FFT algorithm. The complex multiplication operations are realized using shift-and-add operations.