84263 - Signal Processing T

Course Unit Page

SDGs

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

Industry, innovation and infrastructure

Academic Year 2021/2022

Learning outcomes

The student will develop the ability to analytically characterize discrete-time and continuous-time deterministic signals and as well as linear time-invariant systems, both in the time and frequency domains.

Course contents

  • Frequency domain characterization of deterministic continuous-time signals. 24 hours (2 hours in lab).
  • Frequency domain characterization of linear time-invariant continuous-time systems. 19 hours (2 hours in lab)
  • Time domain characterization of deterministic continuous-time signals. 4 hours
  • Time domain characterization of linear continuous-time r systems. 4 hours
  • Analysis of discrete-time signals. 10 hours (2 hours in lab).
  • Analysis of linear discrete-time systems 6 hours (2 hours in lab).
  • Energy signals and power signals. 4 hours.
  • Gain and attenuation of linear time-invariant systems. 3 hours.
  • Modulation theory. 16 hours (2 hours in lab)

Readings/Bibliography

  • Leonardo Calandrino, Marco Chiani: Lezioni di Comunicazioni Elettriche, Pitagora Editrice, Bologna, 2004
  • Collection of exercises with solutions taken from written exams

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