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 with a certified learning disability (DSA), a disability, or other special educational needs are invited to contact the instructor at the beginning of the course to discuss teaching and examination arrangements that, while respecting the learning objectives of the course, take individual learning needs into account and provide appropriate accommodations.
Please also note that requests for exam accommodations or exemptions must be submitted using the form available at https://modulionline.unige.it/richiesta-adattamenti#no-back, to the course teacher, the DIBRIS contact person (silvana.dellepiane@unige.it), and the relevant office (inclusione.studenti@info.unige.it) at least seven working days before the examination, in accordance with the guidelines available at https://unige.it/disabilita-dsa/richiesta-servizi

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

LESSONS

LESSONS START

https://corsi.unige.it/corsi/11880/studenti-orario

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.