
italian version
Aims :
This
Course aims to provide the basic elements for
signals description and representation, in the
time and frequency domains, either continuous
or discrete, either deterministic or stochastic,
and the effect of their transit through linear
systems.
Topics :
- Signal classification: deterministic
signals and random signals
- Signal representation in the frequency domain:
continuous time periodic signals and continuous
time aperiodic signals
- Baseband and passband signals
- Continuous time unidimensional linear systems:
impulse response, transfer function and non distortion
linear conditions
- Sampling theorem: ideal, natural and instantaneous
sampling
- Discrete time signals: properties and implementation
of DFT algorithms
- Discrete time unidimensional systems: digital
filters design elements
- Outline of random variables theory
- Stationary and ergodic stochastic processes
- Examples of stochastic processes
Textbooks :
- Dispense a cura del docente.
- M. Luise, Giorgio M. Vitetta, “Teoria
dei Segnali”, Seconda Edizione, McGraw-Hill,
2003.
- Gianfranco Cariolaro, Gianfranco Pierobon, Giancarlo
Calvagno, “Segnali e Sistemi”, McGraw-Hill,
2005.
Exam :
L’esame è orale con un domanda scritta
preliminare.
Tutorial Session :
Martedì: dalle 9.30 alle 12.30
Possibile interazione via e-mail. Indirizzo del
docente: f.chiaraluce@univpm.it
|