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Lecture
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.
This lecture covers the principles of linear MM SE estimation, including the orthogonality principle, Wiener filter, and second-order statistics. The slides discuss the estimation of parameters and the minimization of errors in linear regression.