Nyquist frequency - Sampling theory

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.

1. What is the Nyquist frequency of the sampling?
2. What is the Nyquist theorem explain it?

What is the Nyquist frequency of the sampling?

The Nyquist frequency is a type of sampling frequency that uses signal processing that is defined as “half of the rate” of a discrete signal processing system. It is the highest frequency that can be coded for a particular sampling rate so that the signal can be reconstructed.

What is the Nyquist theorem explain it?

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.