Knowledge of the frequency representation of a deterministic signal. Ability to analyze deterministic signals and calculate fundamental properties (spectrum, power/energy).
Prerequisiti
Knowledge acquired in previous courses in mathematics.
Metodi didattici
The course is based on lectures, case studies, and project examples, aimed at describing applications of analog and digital signal processing to practical utility projects.
Lectures (hours/year in lecture theatre): 16 Practical classes (hours/year in lecture theatre): 12 Workshops (hours/year in the lab): 0
The lectures are given using slides, providing additional explanations and examples at the backboard. The practical classes consist in the solution of exercises fostering students' interactions.
Verifica Apprendimento
The final exam is a written test (90 minutes) devoted to score the student knowledge by means of one exercise and two open questions covering most of the course program.
The minimum score to pass the exam is 18, the top score is 30 cum laude.
Testi
S. Haykin, M. Moher: An Introduction to Analog and Digital Communications. Wiley.
Monson H. Hayes: Statistical Digital Signal Processing and Modeling. Wiley
Contenuti
Analog signals Deterministic signals in the frequency domain Fourier series. Fourier series in exponential form. Response of linear systems and properties of transfer functions. Power and energy signals. Power spectral density and energy. The Fourier transform. The convolution theorem. Parseval's theorem. Correlation between waveforms. Auto correlation. Power and cross correlation. Probability
Digital signals Discrete time signals, sampling theorem. Analysis of digital systems in the Fourier and Z transform domains, Discrete Fourier Transform and Fast Fourier Transform.