|
Lecturer(s)
|
|
|
|
Course content
|
1. Introduction, signal classification in continuous and discrete time, description and meaning (deterministic, random, causal, finite, periodic), special signals (unit jump, rectangular pulse, Dirac pulse, unit pulse, sampling signal). 2. Characteristics of time domain signals (mean, energy, power, mutual energy and power, mutual correlation and autocorrelation). 3. Signal quantization, Signal sampling. 4. Types of AD converters and their basic properties. 5. Signal spectrum, Fourier transform, basic properties, visualization. 6. Use of DFT and FFT in signal analysis. 7. Principles of sensing image and sound information, principles of sensing elements. 8. Analog sensing systems, Analog TV signal transmission. 9. Digital sensing systems, CMOS and CCD sensing elements. 10. Available integrated circuits for signal processing and their basic properties. 11. C# - Convolution and its use in image filtering. 12. C# - Digital signal simulation and modeling. 13. C# - Image and 1D signal preprocessing techniques, edge detection in image matrix.
|
|
Learning activities and teaching methods
|
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Methods of individual activities
- Term paper
- 46 hours per semester
- Participation in classes
- 52 hours per semester
- Preparation for an exam
- 52 hours per semester
|
|
Learning outcomes
|
The course focuses on the interpretation of the basic principles of analysis and processing of audio and video signals in an applied manner. The course explains and practically applies the basic algorithms used in communication systems for image processing and audio (voice, music) transmission. Students apply their knowledge continuously in their own application in the Visual Studio environment in C#, and use Matlab for signal analysis.
After completing the course, the student will gain an overview of the basic algorithms of image and sound processing. In addition, the student will learn the principles of creating graphically oriented applications in the MS Visual Studio C# environment. Understanding these procedures is crucial for further study of communication systems and individual digital assets in subsequent semesters.
|
|
Prerequisites
|
unspecified
|
|
Assessment methods and criteria
|
Oral examination, Home assignment evaluation
The student attendance on all practice courses is necessitated. On the credit test the students have to present the courses knowledges. The exam is based on theoretical knowledges presented on the lectures. A condition for credit and examination is: 1. Submission and analysis of the term paper + theoretical discussion of the assigned problem. During the exam, understanding and approach to the problem is assessed. Comprehensiveness of the solution and independence. Authorship of the thesis is verified during the examination. Upon request, the student will program part of the code during the presentation, or modify the given example. Authorship of the thesis is verified during the examination. 2. Presentation of a short video with descriptions/comments in EN. 3. Return of borrowed items.
|
|
Recommended literature
|
-
EUROPEAN TELECOMMUNICATIONS STANDARDS INSTITUTE [ETSI]. ETSI TS 102 563, Digital Audio Broadcasting (DAB); DAB+ audio coding (MPEG HE-AACv2).
-
EUROPEAN TELECOMMUNICATIONS STANDARDS INSTITUTE [ETSI]. ETSI TS 300 744, Digital Video Broadcasting (DVB); Framing structure, channel coding and modulation for digital terrestrial television.
-
FRIBERT, Miroslav. Základy zpracování obrazu. Vyd. 2. Pardubice: Univerzita Pardubice, 2012. ISBN 978-80-7395-534-2.
-
Keith J. "Video Demystified?. LLH Technology Publishing, Eagle Rock, USA, 3. vydání, 2001.
-
Němec Zdeněk. Elektronická opora k předmětu: Zpracování obrazu a zvuku. 2024.
-
Pratt, William K. Digital image processing : PIKS Inside. New York: John Wiley & Sons, 2001. ISBN 0-471-37407-5.
-
PSUTKA, Josef. Mluvíme s počítačem česky. Česká matice technická, roč. 111, č. spisu 502. Praha: Academia, 2006. ISBN 80-200-1309-1.
-
Žára, Jiří. Moderní počítačová grafika. Brno: Computer Press, 2004. ISBN 80-251-0454-0.
|