nyquist sampling theorem


What is Nyquist’s theorem?

    According to the Nyquist theorem, the sampling rate must be at least 2 times the highest frequency contained in the signal. We need to elaborate on the theorem at this point. First, we can sample a signal only if the signal is band-limited. In other words, a signal with an infinite bandwidth cannot be sampled.

How to deduce the sampling rate from the Nyquist sampling theorem?

    We can deduce this rate from the Nyquist sampling theorem by using the following arguments. 1. We assume that the available channel is low-pass with bandwidth B. 2. We assume that the digital signal we want to send has L levels, where each level is a signal element.

What is the sampling theorem?

    The sampling theorem states that the minimum sample rate at which one can completely recover the input signal is called Nyquist rate. This is two times the maximum input frequency.If the sample rate of the sampling switch approaches the input frequency of the signal, mixing behavior will result.

What is Nyquist frequency?

    Also, the Fmax is called the Nyquist frequency. Nyquist rate is the minimum sampling rate to avoid aliasing. The aliasing concept is explained in detail inHigh-Speed, Analog-to-Digital Converter Basics(SLAA510) with diagrams both in time and frequency domain.
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