Howtosignalprocessing
- What will happen if sampling process should not follow the Nyquist theorem?
- Why is it important to follow Nyquist when sampling?
- What will happen when sampling rate is greater than Nyquist rate?
- What can be done to unwanted frequency components that exceeds the Nyquist requirement?
What will happen if sampling process should not follow the Nyquist theorem?
If the Nyquist theorem is not obeyed, higher frequency information is recorded in too low a sample rate, resulting in aliasing artifacts.
Why is it important to follow Nyquist when sampling?
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. This is known as the Nyquist rate.
What will happen when sampling rate is greater than Nyquist rate?
It is the critical rate of sampling. If the signal xt is sampled above the Nyquist rate, the original signal can be recovered, and if it is sampled below the Nyquist rate, the signal cannot be recovered.
What can be done to unwanted frequency components that exceeds the Nyquist requirement?
Optical or electrical filtering is therefore needed to remove any frequencies that are above the Nyquist limit (Figure 8). Figure 8. A signal sampled at less than two points per cycle and a lower frequency with identical values at the sampling points.
