EEI500 Adaptive Processing of the Signals

Code EEI500
Name Adaptive Processing of the Signals
Status Compulsory/Courses of Limited Choice
Level and type Post-graduate Studies, Academic
Field of study Electronics and Telecommunications
Faculty
Academic staff Leonīds Ribickis, Mihails Gorobecs
Credit points 3.0 (4.5 ECTS)
Parts 1
Annotation Acquisition of adaptive processing of the signals methods provides knowledge about linear and non-linear amplifiers, signal digitalization, linear filters, as well as adaptive and self-adaptive filters. Within the study course such elements are mastered: adaptive filter mathematics and modelling methods, including delta and delta-sigma modulation and adaptive signal processing in automatic regulation systems. .
Contents
Content Full- and part-time intramural studies Part time extramural studies
Contact hours Independent work Contact hours Independent work
History of adaptive signals processing, modern situation and context. 2 2 0 0
Control of initial knowledge – computer test. 2 4 0 0
Sources and types of signals. 2 2 0 0
Necessity and aim of the signals processing. 2 2 0 0
Linear and non-linear amplifiers. Dynamic range. Frequency bandwidth. 2 4 0 0
Digitalization of the signals. 2 3 0 0
Linear filters. 2 3 0 0
Adaptive and self-adaptive filters. 3 2 0 0
Mathematics of adaptive filters. 6 2 0 0
Software of adaptive filters modeling. 4 2 0 0
Delta un delta-sigma modulation. 4 2 0 0
Processing of adaptive signals in automatic control systems. 2 2 0 0
Adaptive signals processing – within the frames of selection. 4 2 0 0
1.Lab.w. Review of adaptive signals processing (filters) in software application. 3 2 0 0
2.Lab.w. Infrared signal processing. 4 2 0 0
3.Lab.w. 2-coordinates acceleration meter signals processing. 4 2 0 0
4.Lab.w. Modeling of electric drive vibration measurement process. 6 4 0 0
Laboratory work report approval. 4 8 0 0
Exam. 2 10 0 0
Total: 60 60 0 0
Goals and objectives
of the course in terms
of competences and skills 		The goal of the study course is to introduce students with electrical signal adaptive processing interdisciplinary with usage in robotics, automatic systems, industrial electronics, power electronics and electro devices, as well as to develop skills how to use adaptive signal processing methods and devices in electrical device control systems. The tasks of the study course are to provide an understanding of the definitions of adaptive signal processing, to develop skills to independently use various adaptive signal processing techniques in robotic equipment, industrial electronics, various applications of adaptronic systems.
Learning outcomes
and assessment 		Is able to describe the types of signals processing in control systems. - Test.
Is able to calculate linear and non-linear amplifiers, their frequency bandwidth. Can apply methods of signals digitalization. - Test.
Is able to develop adaptive filters and apply software of adaptive filters modeling. - Test.
Is able to develop modules of adaptive signals processing in automatic control systems. - Passed exam.
Evaluation criteria of study results
Tests - 60%
Exam - 40%
 
Course prerequisites Electric circuits, electronics, mathematics, basics of programming.
Course planning
Part CP ECTS Hours Tests
Lectures Practical Lab. Test Exam Work
1 3.0 4.5 2.0 0.0 1.0 *
[Extended course information PDF]