Courses

This page contains a list of the courses currently offered by myself at the University of Basilicata. 

ING0468: Smart Antennas and Software-Defined Radio

Second semester

Educational goals and expected learning outcomes: the course aims to provide students with advanced knowledge of signal processing methodologies, with particular focus on Software Defined Radio (SDR) techniques, smart antenna systems, and their applications. The course also offers an overview of the main signal processing and transmission systems, combining fundamental theoretical aspects with relevant practical applications. 

Syllabus: The course introduces the main signal processing techniques for wireless systems, starting from spectral analysis to time-frequency analysis. It explores in depth the concepts of smart antennas and digital beamforming techniques, with applications to interference cancellation and direction-of-arrival estimation. A significant part is dedicated to Software Defined Radio (SDR) technology, including architectures, propagation, channel models, and real devices. Finally, the course covers cognitive radio and includes practical activities using MATLAB environments and SDR devices for the analysis and acquisition of real signals. 

More information at: coming soon

SMF0175: Signal Theory

First semester

Educational goals and expected learning outcomes: to provide the basic tools for the analysis of deterministic signals and for their processing by means of systems (in particular linear systems) both in the time and frequency domains.

Syllabus: Signal analysis in the time domain. Basic operations on signals. Concept of power and energy and related properties. Analysis of systems in the time domain. Systems properties. Fourier series expansion and Fourier transform. Sampling theorem and analog/digital and digital/analog conversion. Exercises.

More information at: signal theory 

ING0126: Random Signal Analysis

First semester

Educational goals and expected learning outcomes: The objective of the course is to introduce the basic concepts of probability theory. To acquire basic knowledge of the theory of random signals and stochastic processes. 

Syllabus: Elements of Probability Theory. Random variables and vectors. Transformation of random variables. Means and moments of random variables. Random processes. 

More information at: random signal analysis 

ING0364: SAR techniques for Earth observation

Second semester

Educational goals and expected learning outcomes: The overall objective of the course is to introduce the basic concepts of satellite remote sensing and to present the fundamental characteristics of synthetic aperture radar (SAR) systems used widely for environmental remote sensing applications. Therefore, both processing and analysis of SAR data will be explained. In addition, applications such as SAR Interferometry, change detection and classification of targets and the scene of interest will be studied. The main techniques for earth observation will also be shown. The course also aims to enable the student to acquire the methodologies necessary to deal with problems regarding the use of SAR imagery for remote sensing and environmental monitoring purposes (e.g., changes due to earthquakes, landslides, fires, etc.).

Syllabus: Preliminary concepts of wave propagation. Principles of operation of a radar. Principle of operation of a synthetic aperture radar (SAR). Processing and analysis of SAR images. SAR interferometry for generating ground elevation maps and ground deformation maps. Change detection and classification. Earth observation techniques.  

More information at: SAR techniques for Earth observation