| Course Unit Code | 450-4101/02 |
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| Number of ECTS Credits Allocated | 4 ECTS credits |
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| Type of Course Unit * | Optional |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | |
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| Semester when the Course Unit is delivered | Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | English |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| MAC37 | Ing. Zdeněk Macháček, Ph.D. |
| Summary |
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Audio and Video Signal Processing Methods in Control Systems is continuing knowledge from Bachelor's study programs dealing with continuous and digital signal processing and system analysis (Signals and systems, Digital signal processing, etc.). At the same time it complements the knowledge from Master’s study dealing with signal processing methods (Advanced methods of signal processing).
It is intended for students and engineers of electrical engineering, focusing mainly on measurement, regulation, control and signal processing. The student acquires and extends his / her knowledge and skills in the problems, concepts of methodology of audio and video signal processing methods.
The students learn the unified methodology of description of audio and video signal recording, audio and video signal processing of using selected algorithms, propagation of audio signals, digitization of audio and video signals, analysis and synthesis of audio signal, compression of audio and video signals, basics for speech signal processing.
Students also have knowledge of signal processing methods such as image segmentation, edge detection, image transformation, image signal geometry, image signal filtration, object recognition. Students implement selected basic methods of audio and video signal processing in digital technology, microprocessor and processor technologies.
Basic knowledge of mathematics and signal processing in the scope of the basic courses lectured at VŠB TU Ostrava, the FEI, basic knowledge of physics, elementary knowledge of electrical engineering and digital technology.
Students also learn implementaion of algorithms of discussed methods into the mathematical program and microprocessor, respectively. processor technologies for processing and analyzing audio and video signals. Students use digital technology, measuring instruments, microprocessor technology, processor technology.
Audio and Video Signal Processing Methods in Control Systems are a one-semester object covering the scope of the basics audio and video signal processing. For more information, see the website of the Department of Cybernetics and Biomedical Engineering, FEI, which provides the subject.
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| Learning Outcomes of the Course Unit |
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Mathematical algorithms, methods and principles of audio and video signal processing are studied in this subject. Students will study the processing methods for digital audio and video signals, which can be implemented in digital technology, microprocessor and processor technology. The subject includes knowledge in the fields of measurement, regulation, electronics, biomedical techniques, audio and video signal processing.
Learning outcomes of the course is presenting basic methods and algorithms of audio and video signal processing using methods of audio signal processing, sound effects, audio signal propagation, audio signal digitalization, analysis and synthesis of audio signal, audio signal compression, basics for speech signal processing, image signal processing, image signal digitization, image segmentation, edge detection, image transformation , image signal geometry, image signal filtering, object recognition. Students will be introduced to the implementation of selected basic methods in digital technology, microprocessor and processor technologies.
The elementary methods of audio and video signal processing are presented at lectures and in exercises the students practically realize the assignment of individual protocols, which thematically correspond to the topics discussed in the lectures. Practical usage of tools for processing and analysis of audio and video signals.
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| Course Contents |
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Lectures:
Introduction of audio processing especially in control systems. Specification of studied problems with mathematical description and graphical expression of the basics of audio signal processing.
Audio signal capture and concersion, A / D , D / A converters. Methods of audio signal preprocessing and principles of audio signal digitization.
Methodology and methods of audio signal propagation. Physical interpretation of the audio signal.
Frequency analysis of audio signals. Discrete Fourier Transform, Fourier Transform properties in audio signal processing based on frequency transformation.
Audio signal synthesis. Methods of audio signal generation and audio signal processing.
Processing methodology and methods of speech recognition from the audio signal.
Fundamentals of image signal processing especially in control systems. Specification of studied problems with mathematical description and graphical expression of the basics of image signal processing. Image signal capture, video signal transfer.
Image signal preprocessing methods and principles of image signal digitization.
Geometric and luminance transformation of the video signal. Methods of realizing the transformation of the video signal. Methodology and types of histograms.
Frequency transformation of video signals. Discrete Fourier Transform, Fourier Transform properties.
Principles of convolution, video signal filtration. Edge detection methods from Image Signal. Morphological operations of the video signal.
Video signal segmentation, threshold image methodology.
Methodology for recognizing objects from a video signal. Object image tracking.
Methods and individual types of audio and video signal compression.
Exercises:
Introductory of laboratory exercises with principles of audio signal processing in control systems. Definition of the studied subject.
Audio signal capture, A / D audio conversion implementation, D / A converters.
Implementation and ways of audio signal propagation using instrumentation and mathematical software.
Implementation of frequency analysis of audio signals. Discrete Fourier Transform, Fourier Transform properties in audio signal processing based on frequency transformation.
Audio signal synthesis. Audio signals generation and audio signal processing.
Implementation of methods for speech recognition using audio instrumentation and mathematical software.
Video signal implementation and processing with mathematical description and graphic representation of the basics of image signal processing.
Image signal capture, video signal transfer. Implementation of image signal preprocessing methods and image signal digitization.
Implementation of geometric and luminous transformation of the video signal. Implementation of image signal transformation. Histograms.
Implementation of frequency transformation of video signals. Discrete Fourier Transform.
Convolution implementation, video signal filtering. Detection of edges from image signal and morphological image signal operations using instrumentation and mathematical software.
Video signal segmentation, threshold image detection.
Recognizing objects from the video signal. Object image tracking.
Final laboratory test.
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| Recommended or Required Reading |
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| Required Reading: |
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Gonzales, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall,2017. ISBN 978-0133356724
Zolzer U.: Digital Audio Signal Processing. Wiley, 2008. ISBN 978-0470997857
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Hájovský, R., Pustková, R., Kutálek, F.:Zpracování obrazu v měřicí a řídicí technice. Učební text vytvořený v rámci projektu CZ.O4.01.3/3.2.15.2/0326 -E-learningové prvky pro podporu výuky odborných a technických předmětů. Ostrava, 2010.
Psutka J., Matoušek J.: Mluvíme s počítačem česky. Praha. Academia. 2006. ISBN 80-200-1309-1.
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| Recommended Reading: |
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| Petrou M., Petrou C.: Image Processing: The Fundamentals. Wiley, 2010. ISBN 978-0470745861 |
Hlaváč, V., Sedláček, M.: Zpracování signálů a obrazů, ČVUT, Praha, 2007.ISBN 978-80-01-03110-0.
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| Planned learning activities and teaching methods |
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| Lectures, Individual consultations, Experimental work in labs |
| Assesment methods and criteria |
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| Tasks are not Defined |