CFU: 9
Prerequisites
None.
Preliminary Courses
Analisi Matematica I
Learning Goals
The aim of the course is to provide the basic tools for the analysis of deterministic signals and for their processing using linear systems, both in the time and frequency domain. A further goal is to introduce the basic concepts of probability theory.
Expected Learning Outcomes
Knowledge and understanding
The student must demonstrate the ability to classify and describe the signals of interest for engineering, both in the time and frequency domain. The student must also demonstrate the ability to analyze and design simple signal processing schemes, especially those based on linear systems. Moreover, the student must demonstrate to understand the random nature of many phenomena of interest for engineering and ability to use the tools of probability to model and solve simple problems of a random nature.
Applying knowledge and understanding
The student must demonstrate the ability to recognize problems that involve the analysis and processing of signals, and choose models appropriate to their description and solution. The student must also demonstrate the ability to select the parameters of simple signal processing schemes, especially those based on linear systems. The student must also demonstrate the ability to model and solve simple problems of a random nature with the tools of probability theory.
Course Content - Syllabus
Continuous-time and discrete-time deterministic signals: power and energy of signals, Fourier series and Fourier transform, band of a signal. Classification of systems in terms of causality, stability, linearity, time-invariance. Linear time-invariant systems: filtering in the time and frequency domain, band of a system, linear and non-linear distortion. Analog-to-digital and digital-to-analog conversion. Elements of probability theory. Random variables: complete and synthetic characterization of a variable, of a couple of variables, of a vector of random variables. Random variables of common use.
Readings/Bibliography
Books:
- Conte: "Lezioni di Teoria dei Segnali", Liguori.
- Conte, C. Galdi, "Fenomeni Aleatori", Liguori.
- Gelli: “Probabilità e Informazione”, www.docenti.unina.it.
- Gelli, F. Verde: “Segnali e sistemi”, Liguori.
- Luise, G.M. Vitetta: “Teoria dei segnali”, III edizione, 2009, McGraw-Hill.
Other:
- Verdoliva: “Appunti di Teoria dei Segnali”, www.docenti.unina.it.
Teaching Methods
Teaching is 100% based on lectures, which include both theory and exercises.
Examination/Evaluation criteria
Exam type
Written and oral. The written exam includes only numerical exercises.