Subject: Detection and estimation (17.EK533 )
Native organizations units: Department of Power, Electronic and Telecommunication Engineering
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Master Academic Studies | Information Engineering (Year: 1, Semester: Winter) |
Becoming familiar with the methods of signal detection and estimation.
Understanding the methods of signal detection and estimation in a noisy environment.
Hypothesis testing; detection of the known signal in additive white Gaussian noise; detection of sinusoidal signals with random parameters (phase, amplitude, frequency, time of arrival) in additive white Gaussian noise based on a single channel observation; Multiple observations: Signal detection in the coloured Gaussian noise; Signal parameter estimation; PLL as a phase and frequency estimator; Estimation of parameters by reducing the signal sequence generator to a finite state automaton model.
Lectures. Practice.
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 1971 | English |
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Oral part of the exam | No | Yes | 50.00 |
| Homework | Yes | Yes | 50.00 |
Assoc. Prof. Dragana Bajović
Associate Professor
Lectures
Prof. Čedomir Stefanović
Assistant Professor
Lectures
Asistent sa doktoratom Vukan Ninković
Assistant with PhD
Practical classes
Asistent sa doktoratom Vukan Ninković
Assistant with PhD
Laboratory classes
Faculty of Technical Sciences
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© 2024. Faculty of Technical Sciences.