13M031STT - Statistical Communication Theory
| Course specification | ||||
|---|---|---|---|---|
| Course title | Statistical Communication Theory | |||
| Acronym | 13M031STT | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | ||||
| Type of study | master academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 6.0 | Status | elective | |
| Condition | Telecommunications 1, Telecommunications 2, Radio communications, Information theory and coding in telecommunications | |||
| The goal | To provide students with understanding of basic discrete and continual random processes. Introduction to filtering, correlation and detection theory. | |||
| The outcome | At the end of the course, the students will be familiar with the basic methods that use probabilistic approach in solving communications problems. | |||
| Contents | ||||
| URL to the subject page | http://telit.etf.rs/kurs/statisticka-teorija-telekomunikacija/ | |||
| Contents of lectures | Communication system model. Random variables. Distributions and transformations of random variables. Moments. Characteristic function. Random processes, ansamble. Stationarity, ergodicity, correlation function. Wiener-Khinchine theorem. Extraction of signal by using filtration and correlation methods. Viener filter. Detection of signal in noise. | |||
| Contents of exercises | Excercises and homeworks | |||
| Literature | ||||
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| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 3 | 1 | |||
| Methods of teaching | Lectures, excercises, homeworks, project (optionaly). | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 0 | Test paper | 60 | |
| Practical lessons | 40 | Oral examination | 0 | |
| Projects | ||||
| Colloquia | 0 | |||
| Seminars | 0 | |||

