State the sampling Theorem? Is it better to have a the sampling frequency slightly more than twice the bandwidth? Why?

Question

Accepted Answer

The sampling theorem states that a signal must be sampled at a rate at least twice its bandwidth to avoid aliasing.

The sampling theorem is also known as the Nyquist-Shannon sampling theorem.
Sampling at a rate slightly more than twice the bandwidth ensures that all the information in the signal is captured without distortion.
If the sampling frequency is too low, aliasing can occur, where high-frequency components are incorrectly represented as lower frequencies.
For example, if a signal has a bandwidth of 10 kHz, it should be sampled at a frequency of at least 20 kHz to avoid aliasing.
Having a sampling frequency significantly higher than twice the bandwidth can be wasteful in terms of storage and processing requirements.

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