Howtosignalprocessing
- What happens if you sample at the Nyquist rate?
- What did Nyquist have to say about sampling rate?
- Why is it important to follow Nyquist when sampling?
- What is Nyquist rate and why is it important?
What happens if you sample at the Nyquist rate?
It can be seen that by sampling at the Nyquist rate, we can get the frequency information about the signal. However, to faithfully reconstruct the signal, we have to increase the sampling rate even more.
What did Nyquist have to say about sampling rate?
Nyquist's theorem states that a periodic signal must be sampled at more than twice the highest frequency component of the signal. In practice, because of the finite time available, a sample rate somewhat higher than this is necessary.
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 is Nyquist rate and why is it important?
The Nyquist theorem is also known as the sampling theorem. It is the principle to accurately reproduce a pure sine wave measurement, or sample, rate, which must be at least twice its frequency. The Nyquist theorem underpins all analog-to-digital conversion and is used in digital audio and video to reduce aliasing.
