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CODE 114585
ACADEMIC YEAR 2026/2027
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR ING-INF/03
LANGUAGE Italian (English on demand)
TEACHING LOCATION
  • GENOVA
SEMESTER Annual

OVERVIEW

The teaching unit provides basic knowledge on the fundamentals of signal processing and telecommunications, covering theoretical concepts as well as practical applications in digital signal processing and real-world telecommunication systems.

AIMS AND CONTENT

LEARNING OUTCOMES

This teaching unit aims to provide students with the essential principles and basic concepts of telecommunications techniques and signal processing. Students will acquire skills related to: representation and processing of information, analysis of signals in time and frequency, linear and time-invariant systems, sampling, analog-to-digital conversion (PCM), baseband digital transmission using unlimited bandwidth PAM, random processes, modulations and their performance (bandwidth, power, fidelity), and the effects of noise.

AIMS AND LEARNING OUTCOMES

After the teaching unit, the student shall know basic notions about the modeling and processing of deterministic and stochastic signals in the time and frequency domains, about discrete-time signals and systems, about analog-to-digital conversion, about digital communication, and about frequency- and time-division multiplexing.

PREREQUISITES

There are no specific requirements.

TEACHING METHODS

Class lectures and lab exercises

Students who hold valid certificates relating to Specific Learning Difficulties (SLD), disabilities or other educational needs are invited to contact the lecturer and the school’s disability liaison officer at the start of the lessons to agree on any teaching arrangements which, whilst respecting the objectives of the teaching unit, take into account individual learning styles.

The contact details for the university’s disability liaison officer are available at the following link: https://unige.it/commissioni/comitatoperlinclusionedeglistudenticondisabilita.

 

 

SYLLABUS/CONTENT

  • Signals and spectra, Fourier transforms, and Fourier series
  • Linear time-invariant systems, convolution operators, and filters
  • Sampling, quantization, and pulse code modulation (PCM)
  • Wideband pulse amplitude modulation (PAM)
  • Time-division and frequency-division multiplexing (TDM and FDM)
  • Discrete-time signals and systems, discrete convolution operators, discrete Fourier transform (DFT)
  • Discrete-time processing of analog signals, spectral analysis
  • Stochastic processes, stationarity, ergodicity, power spectral density
  • Digital communication and optimum receiver principles

RECOMMENDED READING/BIBLIOGRAPHY

  • Slides available on AulaWeb
  • A. B. Carlson, P. Crilly, Communication systems, McGraw-Hill, 2009
  • Oppenheim A. V., Schafer R. W., Discrete-time signal processing, Pearson, 2014
  • Further reading:
    • M. Vetterli, J. Kovacevic, V. K. Goyal, Foundations of signal processing, Cambridge University Press, 2014.
    • L. Calandrino, M. Chiani, Lezioni di comunicazioni elettriche, Pitagora, 2013.
    • G. Gelli, F. Verde, Segnali e sistemi, Liguori, 2014.
    • L. Lo Presti, F. Neri, L’analisi dei segnali, CLUT, 1992.
    • E. M. Stein, R. Shakarchi, Fourier analysis: an introduction, Princeton University Press, 2003.
    • G. B. Folland, Fourier analysis and its applications, AMS, 1992.
    • L. Grafakos, Classical Fourier analysis, Springer, 2008.
    • D. C. Champeney, A handbook of Fourier theorems, Cambridge University Press, 1987
    • P. Bremaud, Fourier analysis and stochastic processes, Springer, 2014
    • G. Lindgren, Stationary Stochastic Processes, CRC Press, 2012
    • G. Cariolaro, G. Pierobon, Teoria della probabilità e dei processi aleatori, Patron, 1982
    • J. M. Wozencraft, I. M. Jacobs, Principles of communication engineering, Waveland press, 1990

TEACHERS AND EXAM BOARD

Exam Board

GABRIELE MOSER (President)

ANDREA TRUCCO (President)

LESSONS

LESSONS START

https://easyacademy.unige.it/portalestudenti/index.php?view=easycourse&_lang=it&include=corso

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam consists of a mandatory written part followed by an optional oral part.
The mandatory written exam may be taken either as a single session covering the entire syllabus, or as two separate partial written exams on the topics of the first and second semesters.

ASSESSMENT METHODS

The mandatory written exam (as well as the partial written exams) will assess the student's capability to solve problems on the topics of the teaching unit. The optional oral exam will assess the student's understanding of the topics of the teaching unit. In both phases, formal correctness, capability to perform math calculations, capability to apply formulas and concepts discussed in class, clarity of explanation, critical reasoning, and use of the appropriate lexicon will be evaluated.

FURTHER INFORMATION

Ask the professor for other information not included in the teaching schedule.

Students with valid certifications for Specific Learning Disorders (SLD) may request accommodations for exams at least 7 days prior to the exam date by filling out the “accommodation request form” (available via online services at https://modulionline.unige.it/richiesta-adattamenti# no-back), which will be automatically forwarded by the system to the instructor in charge of the course and to the faculty liaison for students with disabilities and SLDs in their School/Department.

The student will receive a copy of their request.

Agenda 2030 - Sustainable Development Goals

Agenda 2030 - Sustainable Development Goals
Quality education
Quality education
Decent work and economic growth
Decent work and economic growth