SLO | EN

Objectives and competences

The objective of this course is to use the algorithms of digital signal processing.

Content (Syllabus outline)

• Introduction: signals and systems, time discrete and discrete Fourier transform, Z transform, frequency domain characteristics of LPT systems, discrete-time correlation, and convolution. • Filters: filter types, digital filters, the realization of digital filters, adaptive filters. • Transforming signals into the frequency domain: discrete Fourier transform, fast Fourier Transform, discrete cosine transform, practical considerations. • Multirate sampling systems: decimation by a factor D, interpolation by a factor I, sampling rate conversion by a rational factor I/D. • Digital signal processing with the signal processor – components of the digital signal processing system, development environment, examples of digital signal processing of one- and two-dimensional signals.

Learning and teaching methods

• Lectures: are conducted as classical lectures in frontal form, where students get to know the theoretical contents of the course. • Tutorials: are conducted in frontal form, where students are introduced to work on laboratory exercises. • Laboratory exercises: students consolidate theoretical knowledge acquired in lectures by solving practical examples.

Intended learning outcomes - knowledge and understanding

On completion of this course the student will be able to • solve the problems of digital signal processing, • assess the characteristics of digital signal processing systems, • design and analyse the performance of digital filters, • classify components of and to use a typical DSP development system.

Intended learning outcomes - transferable/key skills and other attributes

• Communication skills: oral lab work defense, manner of expression at the written exam. • Use of information technology: use of digital signal processing software tools. • Problem-solving: designing and implementing of digital signal processing algorithms.

Readings

• Z. Kačič: Digitalna obdelava signalov, delovno gradivo, Univerza v Mariboru, Fakulteta za elektrotehniko, računalništvo in informatiko, Maribor, 2019. • K.S. Thyagarajan: Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications, Springer, New York, 2018. • L. Tan, J. Jiang: Digital Signal Processing: Fundamentals and Applications, Academic Press, 3. izdaja, London, 2018. • S. R. Laxpati, V. Goncharoff: Practical Signal Processing and Its Applications, World Scientific Publishing Co Pte Ltd, Singapore, 2018.

Prerequisits

Recommended is basic knowledge of mathematics, basic knowledge of programming, basic knowledge of signal processing.

  • red. prof. dr. ZDRAVKO KAČIČ, univ. dipl. inž. el.

  • Written examination: 50
  • Project: 20
  • Laboratory work: 20
  • Seminar paper: 10

  • : 30
  • : 30
  • : 120

  • Slovenian
  • Slovenian

  • ELECTRICAL ENGINEERING (ELECTRONICS) - 2nd