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Lecturer(s)
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Bezoušek Pavel, prof. Ing. CSc.
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Dobrovolný Martin, Ing. Ph.D.
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Matoušek David, Ing. Bc. Ph.D.
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Course content
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The principle and the techniques of video and audio signals capturing. The analogue systems of transmission of picture signal: the frequency band requirements, the signal pre-processing, the transmission of video signals (composite video signal, TV fields...) The digital image transmission systems: HDTV, the picture signal pre-processing techniques (the image compression ? lossless, the JPEG/MPEG/JPEG2000 principles, the codec suitable for streaming video broadcasting). The digital audio transmission systems: the VoIP systems, the multicast broadcasting, the multimedia purpose of the IPv6 protocol. The compression of audio signals (ulaw, the audio codecs, the compression in GSM systems). the processing of audio signals: MPEG-Audio, MUSICAM, ATRAC, DOLBY. The coding and compression of audio bit stream. The psychoacoustic model.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Methods of individual activities, Laboratory work
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Learning outcomes
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The course provides to students essential knowledge of data transmission theory and the principles of transmission and processing of audio and video signals. The understanding of these principles is necessary for the next study of communications systems in the next semesters.
After the course will student have the knowledges from the transmission and processing of audio and video signals area. The understanding of these principles is necessary for the next study of communications systems in the next semesters.
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Prerequisites
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The basic orientation in the MATLAB environment or any of the alternative products (SCILAB, OCTAVE...). The basic digital signal processing methods (the signal discretization, the spectrum of a signal, the one dimensional Fourier transformation). The basic matrix operations (for example the matrix inversion, transposition and multiplication). The capability of problems analysis and algorithm development.
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Assessment methods and criteria
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Oral examination, Home assignment evaluation
Credit requirements: the student attendance on all practice courses is necessitated. During the semester is assignment written work. The exam is based on theoretical knowledges presented on the lectures.
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Recommended literature
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Castelman, K.R. Digital Image Processing.
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KEITH, J. Video Demystified. LLH Technology Publishing, Eagle Rock, USA, 2001.
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Klíma, Miloš. Zpracování obrazové informace. Praha: Vydavatelství ČVUT, 1996. ISBN 80-01-01436-3.
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PRCHAL, J., ŠIMÁK, B. Digitální zpracování signálů v telekomunikacích. ČVUT Praha, 2000.
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