Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Stochastic Models for Communications
This lecture covers random vectors, stochastic models for communications, joint probability density, marginal probability density, independent random variables, functions of two random variables, linear function case, examples of sum of two random variables, expectation, covariance, joint characteristic function, conditional probability density, conditional expectation, complex random variables, Gaussian random variables, and multivariate Gaussian random variables.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on Mediaspace