Faculty of Technical Sciences

Subject: Selected Chapters in Systems and Signals (17.DGI016)

Native organizations units: Sub-department for Automatic Control and Systems Engineering
General information:
 
Category Scientific-professional
Scientific or art field Automatic Control and System Engineering
Interdisciplinary No
ECTS 10
Educational goal:

The aim of the course is for students to master advanced techniques for classification and estimation of signals. This implies that they will be able to perform signal characterization in terms of modeling and stochastic modeling of signals in practical problems, which has its cause in nonlinear signal dynamics or measuring noise.

Educational outcome:

Expected course outcome are the skills that students will acquire in terms of detection, modeling, parameter estimation and signal classification from different engineering fields of practice: in the field of video signals, audio signals, electric signals obtained from measuring devices and systems, etc.

Course content:

Importance of signals in management. Architecture of the DSP TMS320C2000 platform optimized for the management systems. Frequency spectrum and frequency analysis in management. Application of DFT and FFT algorithms and digital filters in management. Implementation of linear regulators with the square optimization criterion, adaptive management algorithms and fuzzy management. DSP algorithms for sensor and non-sensor engine management (Luenberger Observer, Kalman Observer).

Teaching methods:

Lectures. Project. Consultations. Study and research.

Literature:
Authors Title Year Publisher Language
Popović, M. Digitalna obrada signala 1997 Nauka, Beograd Serbian language
Milić, Lj., Dobrosavljević, Z. Uvod u digitalnu obradu signala 1999 ETF, Beograd Serbian language
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Theoretical part of the exam No Yes 70.00
Project Yes Yes 30.00
Lecturers:

prof. dr Jorgovanović Nikola

Full Professor

Lectures

Faculty of Technical Sciences

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Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.