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 course is composed of two modules: Fundamentals of Telecommunications and Applied Telecommunications. The aim of the course is to provide students with a solid foundation in telecommunications and signal processing, combining theoretical concepts with practical applications in digital signal processing (DSP) and real-world telecommunications systems. By the end of the course, students will have acquired both the theoretical understanding and practical expertise needed to design, analyze, and implement signal processing algorithms in telecommunications systems, preparing them to tackle challenges in the rapidly evolving field of digital communications.

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 analog passband and digital baseband 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
• Probability theory
• Random variables
• Stochastic processes
• Analog modulations

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

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

https://corsi.unige.it/corsi/12133/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Written exam.

ASSESSMENT METHODS

The written exam will assess the student's capability to solve problems on the topics of the teaching unit and the student's comprehension of such topics. 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.