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Ternopil Ivan Puluj National Technical University
Каф. комп'ютерних систем та мереж
Digital signal processing
syllabus
1. Educational programs for which discipline is mandatory:
| # | Educational stage | Broad field | Major | Educational program | Course(s) | Semester(s) |
|---|---|---|---|---|---|---|
| 1 | bachelor's | 12. Інформаційні технології | 123. Комп’ютерна інженерія (бакалавр) | 3 | 5 |
2. The course is offered as elective for all levels of higher education and all educational programs.
4. Information about the course |
|
|---|---|
| Study hours structure |
Lectures: 48 Practical classes: 0 Laboratory classes: 32 Amount of hours for individual work: 100 ECTS credits: 6 |
| Teaching language | english |
| Form of final examination | credit |
| Link to an electronic course on the e-learning platform of the university | https://dl.tntu.edu.ua/bounce.php?course=4369 |
5. Program of discipline
Description of academic discipline, its goals, subject of study and learning outcomes
Purpose of this course is to introduce students to fundamental concepts of digital signal processing including sampling and reconstruction, the z-Transform, discrete-time Fourier transforms and their implementations, FIR and IIR digital filtering, multi-rate signal processing and digital media.
Contents of the academic discipline
Lectures (titles/topics)
1. Introduction to Digital Signal Processing (DSP)
2. Discrete-time signals and systems
3. Fourier transform
4. Discrete Fourier Transform (DFT). Fast Fourier Transform (FFT).
5. Z-Transform
6. Introduction to a digital filter
7. Infinite impulse response (IIR) filters
8. Finite impulse response (FIR) filters
9. Wavelet Transform
10. Image Processing
11. Multimedia processing
2. Discrete-time signals and systems
3. Fourier transform
4. Discrete Fourier Transform (DFT). Fast Fourier Transform (FFT).
5. Z-Transform
6. Introduction to a digital filter
7. Infinite impulse response (IIR) filters
8. Finite impulse response (FIR) filters
9. Wavelet Transform
10. Image Processing
11. Multimedia processing
Laboratory classes (topics)
1. Signal Generation and Analysis
2. Fourier transform of signal
3. Z-Transform
4. IIR Filter Design
5. FIR Filter Design
6. Wavelet Analysis
7. Image Processing
8. Interactive Signal Processing
2. Fourier transform of signal
3. Z-Transform
4. IIR Filter Design
5. FIR Filter Design
6. Wavelet Analysis
7. Image Processing
8. Interactive Signal Processing
Learning materials and resources
1. Alan V. Oppenheim, Ronald W. Schafer. Digital Signal Processing. - PrenticeHall of India Pvt. Limited, 2011. – 585 p.
2. Alan V. Oppenheim, Ronald W. Schafer. Discrete-Time Signal Processing. - Pearson Education, 2011. – 1120 p.
3. John G. Proakis, Dimitris G. Manolakis. Digital Signal Processing. Principles, Algorithms, and Applications. – Person Prentice Hall, 2007. – 948 p.
4. Introducing the z-transform [Electronic resource] – Access mode: https://www.ling.upenn.edu/courses/ling525/z.html
5. Z-Transforms (ZT) [Electronic resource] – Access mode: https://www.tutorialspoint.com/signals_and_systems/z_transforms.htm
6. Introduction to Image Processing [Electronic resource] – Access mode: https://www.engineersgarage.com/articles/image-processing-tutorial-applications
7. Geometric Transformations [Electronic resource] – Access mode: http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/OWENS/LECT5/node5. html
2. Alan V. Oppenheim, Ronald W. Schafer. Discrete-Time Signal Processing. - Pearson Education, 2011. – 1120 p.
3. John G. Proakis, Dimitris G. Manolakis. Digital Signal Processing. Principles, Algorithms, and Applications. – Person Prentice Hall, 2007. – 948 p.
4. Introducing the z-transform [Electronic resource] – Access mode: https://www.ling.upenn.edu/courses/ling525/z.html
5. Z-Transforms (ZT) [Electronic resource] – Access mode: https://www.tutorialspoint.com/signals_and_systems/z_transforms.htm
6. Introduction to Image Processing [Electronic resource] – Access mode: https://www.engineersgarage.com/articles/image-processing-tutorial-applications
7. Geometric Transformations [Electronic resource] – Access mode: http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/OWENS/LECT5/node5. html
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