FFT Analyzer Basic FAQ

It's intuitively understandable that the sampling frequency should be as high as possible compared to the frequency bandwidth of the input analog signal, but due to hardware resource limitations, it can't be set too high. As an indicator of what sampling frequency is appropriate, Sampling Theorem (The highest frequency contained in the input signal) f If we use m (Hz), then in order to accurately analyze that frequency band, 2 f There is a requirement that samples must be taken at a frequency of m (Hz) or higher. If this is violated, the sampling frequency is 2 f Samples taken at frequencies lower than m (Hz) may result in errors in the analyzed spectrum. Aliasing (folding) It is called that.

	Aliasing (folding distortion) (FFT basic terminology glossary) Sampling Theorem (FFT Analyzer Basic Terminology) 3.5 Sampling Theorem (Regarding FFT Analyzers)