Irregular sampling refers to the collection of data points at non-uniform intervals, which is often encountered in real-world scenarios where continuous monitoring is impractical or unnecessary. This approach requires specialized techniques for analysis and reconstruction to avoid aliasing and to ensure accurate interpretation of the underlying signal or process.