Signals sampling

1. What is sampling of signals?
2. What is signal sampling and quantization?
3. In which type of signal sampling is done?
4. What is signal sampling theorem?

What is sampling of signals?

In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave to a sequence of "samples".

What is signal sampling and quantization?

A continuous model is convenient for some situations, but in other situations it is more convenient to work with digital signals — i.e., signals which have a discrete (often finite) domain and range. The process of digitizing the domain is called sampling and the process of digitizing the range is called quantization.

In which type of signal sampling is done?

There are three types of sampling techniques: Impulse sampling. Natural sampling. Flat Top sampling.

What is signal sampling theorem?

The sampling theorem essentially says that a signal has to be sampled at least with twice the frequency of the original signal. Since signals and their respective speed can be easier expressed by frequencies, most explanations of artifacts are based on their representation in the frequency domain.