AIMS AND CONTENT

LEARNING OUTCOMES

This course develops the practical aspect of the models and methodologies studied in the "Fundamentals of Telcommunications and Signal Processing" course, demonstrated through applications.

AIMS AND LEARNING OUTCOMES

After the module, the student shall know basic notions about discrete-time signals and systems, their characterization through discrete Fourier transforms, and their use in the processing of real-world signals.

TEACHING METHODS

Class lectures and lab exercises

SYLLABUS/CONTENT

• Discrete-time signals and systems, linear discrete convolutions

• Discrete Fourier Transform (DFT), circular discrete convolutions

• Discrete-time processing of analog signals, simulation theorem, spectral analysis

• Examples of applications

RECOMMENDED READING/BIBLIOGRAPHY

• ​Slides available on Aulaweb
• 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
  • Sonka M., Hlavac V., Boyle R., Image processing, analysis, and machine vision, Cengage Learning, 2015
  • Mallat S., A wavelet tour of signal processing, Elsevier, 2009

TEACHERS AND EXAM BOARD

Exam Board

GABRIELE MOSER (President)

ANDREA SCIARRONE

LUCIO MARCENARO (President Substitute)

ANDREA TRUCCO (Substitute)

LESSONS

LESSONS START

See the official polytechnical school calendar.

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

See the sheet of the teaching unit 114622 - FUNDAMENTALS OF TELECOMMUNICATIONS AND SIGNAL PROCESSING, in which the present module is framed.

ASSESSMENT METHODS

See the sheet of the teaching unit 114622 - FUNDAMENTALS OF TELECOMMUNICATIONS AND SIGNAL PROCESSING, in which the present module is framed.

Exam schedule

FURTHER INFORMATION

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