84263 - Signal Processing T

Course Unit Page


This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Industry, innovation and infrastructure

Academic Year 2018/2019

Learning outcomes

Analytical characterization capability of deterministic discret-time and continuous-time signals and of linear time invariant systems. Modulation and transmission theory.

Course contents

Time and frequency characterization of signals and systems, both continuous-time and discrete-time (Fourier analysis). Linear time invariant systems.
Energy signals and power signals. Energy spectral density and power spectral density. Modulation theory.


Leonardo Calandrino, Marco Chiani: Lezioni di Comunicazioni Elettriche, Pitagora Editrice, Bologna, 2004

Teaching methods

Traditional lessons - Laboratory experiences using oscilloscopes, signal generators and spectrum analyzers.

Assessment methods

Oral discussion (30 minutes in average), preceeded by written questions (2 hours). To be admitted to the oral discussion a minimun grade of 18/30 must be achieved in the written test. After the oral discussion the final grade is decided, with a maximum increase of 5 with respect to the grade of the written test.

Teaching tools

Personal computer, hardware laboratory equipped with function generators, oscilloscopes and spectrum analyzer.

Office hours

See the website of Gianni Pasolini