Academic year2016/17
CourseAEROSPACE ENGINEERING
Code176II
Credits6
PeriodSemester 2
LanguageItalian
| Modules | Area | Type | Hours | Teacher(s) |
| TEORIA DEI SEGNALI | ING-INF/03 | LEZIONI | 60 | |
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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. 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 (2-3 hours), the student is asked to solve four to six 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 contents 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 grade.
Teaching methods
Delivery: face to face
Learning activities:
- attending lectures
- participation in discussions
- individual study
Attendance: Advised
Teaching methods:
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.
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 and white noise. The aim is to make the student familiar with the probabilistic description of non-deterministic phenomena.
Bibliography
Recommended reading includes the following works:
[1] Marco Luise, Giorgio M. Vitetta,Antonio D'Amico, "Teoria dei Segnali", Mc-Graw Hill Companies, 3rd Edition
[2] Lucio Verrazzani, "Teoria dei Segnali: Segnali determinati", ETS Università, 1984.
[3] Lucio Verrazzani, "Teoria dei Segnali: Segnali aleatori", ETS Università, 1984
Updated: 14/11/2016 17:27
