Digital Signal Processing

Course: Computer Systems and Networks Engineering

Structural unit: Faculty of Radiophysics, Electronics and Computer Systems

Title
Digital Signal Processing
Code
ОК 27
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
7 Semester
Number of ECTS credits allocated
4
Learning outcomes
The student must know: Basic concepts of digital signal processing, such as Fourier and Laplace transforms, discrete Fourier and Laplace transforms, z-transform, digital filter, its form of implementation, window function, basic methods of synthesis of digital filters. The student must be able to: Choose and apply digital signal processing methods for processing of experimental data, signals and images.
Form of study
Full-time form
Prerequisites and co-requisites
To learn the "Digital Signal Processing" subject 4th-year student must know those chapters of mathematics which are presented to students in the "Higher Mathematics" and "Differential Equations" subjects.
Course content
The discipline "Digital Signal Processing" provides main concepts on the theory of signals and circuits, spectral analysis, digital filtering: linear systems, invariance in time, Fourier and Laplace transforms, signal sampling, discrete transformations, digital linear systems, synthesis of filters with finite and infinite impulse response, quantization effects in digital systems. The concepts studied in this discipline are illustrated by examples of their application in real signal processing systems.
Recommended or required reading and other learning resources/tools
1. О.В. Барабанов. Основи цифрової обробки сигналів. Навчальний посібник, видавнича лабораторія ФРЕКС КНУ імені Т.Шевченка, 2013 р, 120 с. 2. Steven W. Smith, Ph.D. The Scientist and Engineer's Guide to Digital Signal Processing, California Technical Pub, 1997, 626p. 3. Richard G. Lyons. Understanding Digital Signal Processing, Prentice Hall, 2011, 954 p.
Planned learning activities and teaching methods
Lectures, laboratory classes, unsupervised work
Assessment methods and criteria
- Semester assessment. After each of two semantic modules the written test is carried out, the result of each test is scored from 0 to 30 points. -Final assessment. The written examination is carried out at the end of semester; the permit to examination is given if the subtotal result of two tests is no less then 30 points; examination test consists of 2 tasks and two problems, the performance of each task and solution of each problem is scored from 0 to 10 points. The result of learning of the subject is considered positive if the total score for semantic modules and exam exceeds 60 points, the score for exam must be higher than 20 points.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Oleksandr Valerievich Barabanov
Faculty of Computer Engineering
Faculty of Radiophysics, Electronics and Computer Systems

Departments

The following departments are involved in teaching the above discipline

Faculty of Computer Engineering
Faculty of Radiophysics, Electronics and Computer Systems