Applying Nyquist's sampling theorem to a real signal

1. How do you use the Nyquist theorem?
2. What is the application of sampling theorem?
3. What does the Nyquist theorem have to do with communication explain with an example?
4. What is the main rule of Nyquist's theorem?

How do you use the Nyquist theorem?

As shown by the Nyquist theorem, to accurately measure the 24-hour period of the rotation of the earth, you must take a measurement at least twice its rate, or every 12 hours. The Nyquist theorem defines the minimum sample rate for the highest frequency that you want to measure.

What is the application of sampling theorem?

The sampling theorem specifies the minimum-sampling rate at which a continuous-time signal needs to be uniformly sampled so that the original signal can be completely recovered or reconstructed by these samples alone.

What does the Nyquist theorem have to do with communication explain with an example?

The Nyquist-Shannon theorem also known as the sampling theorem is a fundamental physical stipulation for communications where the continuous signal in time is related to the discrete signal in time. It basically sets a minimum sampling amount that allows the discrete sequence to capture all of the continuous signals.

What is the main rule of Nyquist's theorem?

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.