SIGNAL THEORY

ING-INF/03 - 9 CFU - 2° Semester

Teaching Staff

GIACOMO MORABITO


Learning Objectives

Objective of this course is to provide knowledge about: fundamentals of probability theory, random variables, periodic and aperiodic deterministic signals, random processes, filtering of deterministic signals and random signals

At the end the student will be able to

- model random experiments and derive their characteristic parameters making use, if appropriate, of random variables

- analyze signals (both determined and random) in time and frequency domains

- derive characteristic features of signals (both deterministic and random) in output of linear time-invariant systems starting from the characterization of the signals and of the system itself



Detailed Course Content

Deterministic signals: fundamentals, properties, representation in the time and frequency domain, Fourier transforms, systems, linear and time invariant systems, signal filtering.

Probability theory: fundamentals, random experiments and probability laws, random variables, transformation of random variables, systems of random variables.

Random signals: fundamentals, properties, characterization in the time and frequency domains, random signal filtering, noise, Markov processes



Textbook Information

M. Luise, G. Vitetta. Teoria dei segnali. McGraw Hill.




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