Digital signal processing
Course: Information Security of Telecommunication Systems and Networks
Structural unit: Faculty of Radiophysics, Electronics and Computer Systems
Title
Digital signal processing
Code
ОК 18
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
4 Semester
Number of ECTS credits allocated
4
Learning outcomes
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.
Form of study
Full-time form
Prerequisites and co-requisites
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".
Course content
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.
Recommended or required reading and other learning resources/tools
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.
Planned learning activities and teaching methods
Lectures - 46 hrs, laboratory work - 14 hrs, independent work - 60 hrs, total - 120 hrs.
Assessment methods and criteria
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.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Serge
Valentynovych
Olszewski
Department of Radiotechnique and radioelectronics systems
Faculty of Radiophysics, Electronics and Computer Systems
Faculty of Radiophysics, Electronics and Computer Systems
Departments
The following departments are involved in teaching the above discipline
Department of Radiotechnique and radioelectronics systems
Faculty of Radiophysics, Electronics and Computer Systems