Sampling encompasses a range of interrelated concepts across different fields, each applying it uniquely to solve specific problems. Despite these variations, they share a common underlying principle: the extraction of representative, discrete subsets (samples) from larger, sometimes continuous, entities.

The core idea of sampling is interconnected across disciplines. For example, in Monte Carlo simulation, the concept of random sampling can be interpreted as both a signal processing technique and a statistical method.