 Copulas in signal processing

In the context of signal processing, **copulas** refer to a mathematical construct used to describe the dependencies between random variables, particularly when analyzing multivariate data. The term "copula" originates from the field of statistics and probability, where it allows for the characterization of joint distributions of random variables by separating the marginal distributions from the dependency structure. ### Key Concepts: 1. **Joint Distribution**: In many signal processing applications, signals or measurements can be represented as random variables.