Nyquist theorem in data communication

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.

1. What is the Nyquist theorem formula?
2. What is Nyquist rate in digital communication?
3. How does the Nyquist theorem work?
4. What is sampling theorem in digital communication?

What is the Nyquist theorem formula?

Specifically, in a noise-free channel, Nyquist tells us that we can transmit data at a rate of up to. C=2Blog2M. bits per second, where B is the bandwidth (in Hz) and M is the number of signal levels.

What is Nyquist rate in digital communication?

In signal processing, the Nyquist rate, named after Harry Nyquist, is a value (in units of samples per second or hertz, Hz) equal to twice the highest frequency (bandwidth) of a given function or signal.

How does the Nyquist theorem work?

The Nyquist Sampling Theorem states that: A bandlimited continuous-time signal can be sampled and perfectly reconstructed from its samples if the waveform is sampled over twice as fast as it's highest frequency component.

What is sampling theorem in digital communication?

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. This is usually referred to as Shannon's sampling theorem in the literature.