Howtosignalprocessing
- What happens when the sampling frequency is too high?
- What happens when your sampling rate is higher than twice the maximum frequency of your signal?
- Why sampling frequency should be higher than frequency?
- What happens if the sampling frequency is less than the Nyquist limit?
What happens when the sampling frequency is too high?
If the rate of samples is too high the system may not be able to process them fast enough - it runs out of processing time.
What happens when your sampling rate is higher than twice the maximum frequency of your signal?
The science behind sample rates goes back to the 1940s, with the development of the Nyquist–Shannon theorem. The theorem states that when the sampling frequency is greater than twice the maximum frequency of the signal being sampled, the original signal can be faithfully reconstructed.
Why sampling frequency should be higher than frequency?
If the signal contains high frequency components, we will need to sample at a higher rate to avoid losing information that is in the signal. In general, to preserve the full information in the signal, it is necessary to sample at twice the maximum frequency of the signal.
What happens if the sampling frequency is less than the Nyquist limit?
If the Nyquist theorem is not obeyed, higher frequency information is recorded in too low a sample rate, resulting in aliasing artifacts. Several techniques can reduce aliasing in a reproduced signal.
