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Digital Signal Processing
Major: Publishing and Printing
Code of subject: 6.186.00.O.062
Credits: 5.00
Department: Publishing Information Technologies
Lecturer: Dr.Sc. Professor, Yuriy Rashkevych
Semester: 6 семестр
Mode of study: денна
Learning outcomes: By the end of this course, the student should be able to:
• know and understand the fundamental principles and techniques of digital signal processing;
• compute circular convolution and the discrete Fourier transform of discrete-time signals;
• estimate the spectra of random signals and to appreciate the performance of a variety of modern and classical spectrum estimation techniques;
• know mathematical models, structures and methods of design of FIR and IIR digital filters;
• present the results of studies of the structure of a given signal and in the discussion with other students to justify their conclusions;
• Use the Matlab language and Signal processing toolboxes for designing, implementing and simulating digital signal processing operations.
Required prior and related subjects: Prerequisites:
• Mathematical Analysis,
• Basics of discrete mathematics,
• Higher Algebra,
• Differential equations.
Summary of the subject: Digital convolutions. Z – transform and discrete Fourier transform, fast Fourier transform algorithms. Spectral analysis, window functions. Digital filters: mathematical models, structure and applications. Gibbs phenomenon and Sigma approximation. FIR Filters design.
Assessment methods and criteria: written reports on laboratory work, oral examination (30%)
final control (control measure), written-oral form (70%)
Recommended books: 1. А.Й.Наконечний, Р.А.Наконечний, В.А.Павлиш. Цифрова обробка сигналів: навчальний посібник. – Львів: Видавництво Львівської політехніки, 2010. – 368 с.
2. Б.А.Мандзій, Р.І.Желяк. Основи теорії сигналів. - Львів: ВД “Ініціатива”, 2008. – 240 с.
3. S.Mitra, J.Kaiser. Handbook for digital signal processing. N.Y.: Willey interscience publication. – 1993. – 1268 pp.