Infopaket

Digital signal processing

ОК 18

Обов’язкова дисципліна для ОП

First

2022/2023

2 Semester

4

Students' understanding of the theoretical foundations of time-discrete and level-quantized signal processing. Students master basic concepts and mathematical models that are used for analysis and development of technical systems and algorithms of digital signal processing.

Full-time form

To successfully master the material of the course "Digital Signal Processing", students must master the material of the courses "Higher Mathematics", "Special Sections of Higher Mathematics", "General Physics" and "Basics of the Circuit Theory".

Discrete sequences and systems. Frequency representation of a discrete signal. Mathematical model of the analog signal discretization process. Discrete Hilbert transform. Analysis of linear stationary systems. Methods and stages of development of digital signal processing systems. Multidimensional discrete sequences and systems.

1) Discrete-time signal processing / Alan V. Oppenheim, Ronald W. Schafer, with John R. Buck. — 13 ed., 2018, p.870, ISBN 0-13-754920-2. 2) Multidimensional digital signal processing / Dan E. Dudgeon, Russell M. Mersereau - 10 ed., NJ : Prentice-Hall, 2004, xv, p.400,ISBN 0-13-604959-1. 3) Theory and application of digital signal processing / Lawrence R. Rabiner, Hernard Gold; 11 ed. Prentice-Hall Inc., Englewood Cliffs, New Jersey, 2011, p.762. 4) Digital image processing. 6th revised and extended edition /Bernd Jahne; Springer-Verlag Berlin Heidelberg, 2005, p.607, ISBN 3-540-24035-7.

Lectures - 46 hrs, laboratory work - 14 hrs, independent work - 60 hrs, total - 120 hrs.

Semester assessment: two modular control papers (up to 10 points each), individual homework (up to 20 points), two colloquiums (up to 10 points each), in total - 60 points. Final evaluation in the form of an exam - up to 40 points.

Ukrainian