30569 - Signal Processing

Course Unit Page


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

Quality education Decent work and economic growth Industry, innovation and infrastructure Partnerships for the goals

Academic Year 2021/2022

Learning outcomes

At the end of the course, students will be able to analyze signals and systems both in the time and in the frequency domain, to design algorithms for signals processing, to design the building blocks for analog to digital and digital to analog conversion, to apply tools from probability and statistics for data analysis.

Course contents

Introduction: signals and their processing. Communication systems and networks.

Analysis of signals through the Fourier transform. Continuous-time and discrete-time signals and their spectral characterization.

Linear time-invariant systems. The system transfer function, impulse response.

Baseband analog and digital signals. Analog-to-digital and digital-to-analog conversion.

Finite power signals, power spectrum.

Elements of probability theory.



L. Calandrino, M. Chiani, Lezioni di Comunicazioni Elettriche, Pitagora Editrice, Bologna.


Teaching methods

Lectures in class.

Assessment methods

Written and oral exam.

Teaching tools

Software for signal processing. Hardware laboratory: function generator, spectrum analyzer, oscilloscopes.

Office hours

See the website of Marco Chiani

See the website of Andrea Giorgetti