Digital Signal Processing

Course

Description

This course is meant to be a second course in discrete-time signal processing. It provides a comprehensive treatment of signal processing methods to model discrete-time signals, design optimum digital filters, and to estimate the power spectrum of random processes. It includes topics such as signal models, parametric and nonparametric power spectrum estimation, optimal filters, the Levinson recursion, lattice filters, and Kalman filter.

Course period28/08/23 → …