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Lecturer(s)
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Poláček Martin, Ing.
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Šafařík Radek, Ing.
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Nouza Jan, prof. Ing. CSc.
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Holada Miroslav, Ing. Ph.D.
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Červa Petr, doc. Ing. Ph.D.
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Matějů Lukáš, Ing. Ph.D.
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Kynych František, Ing.
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Course content
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The subject provides an introduction to basic methods of signal processing. Although analog signals are also mentioned, the main focus is given to digital signals and digital signal processing systems. The subject includes the following topics: time domain and frequency domain analysis, convolution, correlation, FFT, filter design, modulation. In excercises, students use MATLAB to solve such tasks like, acoustic signal filtering, music tone generation, correlation analysis, picture enhancement, etc.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing), Laboratory work
- Class attendance
- 56 hours per semester
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Learning outcomes
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The subject provides an introduction to basic methods of signal processing. Although analog signals are also mentioned, the main focus is given to digital signals and digital signal processing systems. The subject includes the following topics: time domain and frequency domain analysis, convolution, correlation, FFT, filter design, modulation. In excercises, students use MATLAB to solve such tasks like, acoustic signal filtering, music tone generation, correlation analysis, picture enhancement, etc.
Theoretic piece of knowledge and practical skills from requered areas
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Prerequisites
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Condition of registration: basic knowledge mathematics taught in 1st and 2nd semester
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Assessment methods and criteria
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Combined examination, Written exam
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Recommended literature
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McClellan J.H., Schafer R., Yoder M.A. DSP First - A Multimedia Approach. Prentice Hall, 1998..
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