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 design of Finite Impulse Response (FIR) filters, focusing on obtaining the impulse response from frequency values, symmetry properties, complexity reduction using symmetries, and different filter realizations. It also discusses the advantages of efficient sampling, optimization of side lobes, and the use of numerical optimization methods for control. The lecture emphasizes the importance of linear phase filters and the historical evolution of frequency sampling methods in signal processing.