Signals and Images Processing Technologies

Major: Computer Engineering
Code of subject: 6.123.01.E.234
Credits: 4.00
Department: Electronic Computing Machines
Lecturer: Lashko Oksana Lyubomyrivna
Semester: 8 семестр
Mode of study: денна
Learning outcomes: know the mathematical definitions, concepts, technology and methods of signal processing; know the approaches to selection and construction of models of information signals; be able to explore mathematical models of signal processing; be able to apply their knowledge in the design of collection systems, transformation, display, processing, storage and transmission of data; be aware of the main directions of development and prospects of practical application of digital signal processing.
Required prior and related subjects: Mathematical Analysis, Basics of discrete mathematics, Basics of algorithms and programming.
Summary of the subject: Sampling and quantization (Nyquist theorem, the concept of the spectrum). Elements of the theory of signals. Key operations of digital signal processing, convolution, modulation, functional transformation. The mathematical apparatus discrete signals and linear systems in complex variable and in the frequency domain (Z - transformation, DFT, FFT). Linear discrete systems: representation in time and frequency domain. Digital filters. Random signals and their main characteristics.Digital images and their characteristics. Methods of digital image processing.
Assessment methods and criteria: Written reports of laboratory work and settlement (30%) Final control (exam): written-oral form (70%)/
Recommended books: 1.Алгоритми та засоби обробки сигналів: навчальний посібник / Є. Я. Ваврук, О. Л. Лашко, Р. Б. Попович. – Львів: Видавництво «Сполом», 2021. – 240 c. 2.Солонина А.И. Основи цифровой обработки сигналов. 2-е издание. Учебное пособие–БХВ-Петербург, 2005.-753с 3.Айфичер, Эммануил С., Джервис, Барри У. Цифровая обработка сигналов: практический поход, 2-е изд.: Пер. с англ. – М.: Издательский дом “Вильямс”, 2004. – 992с.