Random Variables: Basics

This lecture covers the basics of random variables, including the distinction between deterministic and stochastic signals, random variable mapping, probability measurement through cumulative distribution and density functions, expectation, moments, and special cases like Gaussian and Uniform random variables. It also explores relations between random variables, such as cross-correlation, covariance, uncorrelated and independent elements.