13E053SAS - Spectral Signal Analysis
| Course specification | ||||
|---|---|---|---|---|
| Course title | Spectral Signal Analysis | |||
| Acronym | 13E053SAS | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | ||||
| Type of study | bachelor academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 6.0 | Status | elective | |
| Condition | Digital signal processing | |||
| The goal | Objective of the course is to inform the students about the methods for spectral signal analysis and parameter estimation. Also, the objective is to prepare the students these problems to be able to solve using programming language MATLAB. | |||
| The outcome | Learning outcomes of the course is for the students to gain the following skills: to apply different methods for power spectral density estimation, to recognize the form of the process, to make appropriate spectral analysis, to make a choice of the model order. | |||
| Contents | ||||
| URL to the subject page | http://automatika.etf.bg.edu.rs/sr/13e053sas | |||
| Contents of lectures | Stochastic processes. Classical methods for spectral analysis (periodogram, averaged periodoram, Blackman-Tukey method). Modern methods for spectral estimation. Modeling of the processes (AR, MA and ARMA models). Spectral estimation of AR models: Autocorrelation, Covariant, Modified Covariant, Burg's method. Selection of model order. | |||
| Contents of exercises | Students have obligation to solve independently three practical problems using the programming language MATLAB. | |||
| Literature | ||||
| ||||
| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 3 | 1 | 1 | ||
| Methods of teaching | 45 hours of lectures + 15 hours of auditory exercises + 15 hours of practical exercises with computers | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 0 | Test paper | 0 | |
| Practical lessons | 40 | Oral examination | 60 | |
| Projects | ||||
| Colloquia | 0 | |||
| Seminars | 0 | |||