ECTS - University of Pisa
Scheda programma d'esame
SIGNAL ANALYSIS AND TRANSMISSION
FABRIZIO BERIZZI
Academic year2016/17
CourseELECTRONIC ENGINEERING
Code092II
Credits12
PeriodSemester 2
LanguageItalian

ModulesAreaTypeHoursTeacher(s)
SEGNALI ALEATORIING-INF/03LEZIONI60
FABRIZIO BERIZZI unimap
SEGNALI DETERMINISTICIING-INF/03LEZIONI60
ANTONIO ALBERTO D'AMICO unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge
The student who successfully completes the course will be able to demonstrate a solid knowledge of the main issues related to the analysis of deterministic signals and stochastic processes, with emphasis on those aspects strictly related to telecommunication field. He or she will acquire ability in dealing with analog signals and their frequency domain representation, the analysis of linear time-invariant transformations, the sampling theorem and the use of conventional interpolation techniques. The student will also be aware of the basic principles of the probability theory, which will be applied to the study of random variables and stochastic processes. He or she will acquire fundamental knowledge of linear filtering, power spectral density and autocorrelation function of random signals.
Assessment criteria of knowledge
During the written exam (2 hours), the student is asked to solve four exercises in order to demonstrate the ability to put into practice the basic principles of deterministic and statistical signal theory illustrated throughout the course. During the oral exam, the student will be assessed on his/her ability in discussing the main course content and demonstrate his/her knowledge of the course material with competence, critical awareness and propriety of expression.

Methods:

  • Final oral exam
  • Final written exam

Further information:
The final test is composed by a written exam followed by an oral exam. In general, both each part contributes 50% to the definition of the final score.

Teaching methods

Delivery: face to face

Learning activities:

  • attending lectures
  • preparation of oral/written report
  • individual study

Attendance: Advised

Teaching methods:

  • Lectures
  • Other
Syllabus
The course is divided into two parts. The first one covers the study of deterministic signals, with emphasis on their representation in the frequency domain based on the Fourier transform, their sampling and reconstruction through interpolation techniques and their processing by means of linear filters. These concepts are used to provide the basic knowledge for the analysis of one-dimensional systems, with emphasis on applications in the field of signal processing for telecommunication engineering. The second part focuses on the analysis of random signals. In particular,the course introduces the basic principles of the probability theory, random variables and stochastic processes by defining probability distribution and density functions, statistical mean, power, variance, autocorrelation function, power spectral density, Gaussian processes
Bibliography
Recommended reading includes the following works: [1] Marco Luise and Giorgio M. Vitetta, "Teoria dei Segnali", Mc-Graw Hill Companies, 2005. [2] Lucio Verrazzani, "Teoria dei Segnali: Segnali determinati", ETS Universita, 1984. [3] Lucio Verrazzani, "Teoria dei Segnali: Segnali aleatori", ETS Universita, 1984
Updated: 14/11/2016 17:27