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Lecturer(s)
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Scharf Dietmar, prof. Dr. Ing.
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Course content
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1. Signal Theory 2. Sampling of Signals 3. Structures of Discrete Systems FIR Filter IIR Filter Multirate Systems 4. Discrete Fourier Transformation Calculation of the FFT Analysis of Signals Short Time Fourier Transformation 5. Wavelet-Transformation
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Learning activities and teaching methods
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Lecture, Practicum
- Class attendance
- 56 hours per semester
- Preparation for exam
- 44 hours per semester
- Preparation for credit
- 20 hours per semester
- Home preparation for classes
- 30 hours per semester
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Learning outcomes
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The basics of digital signal processing are developed in this course.
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Prerequisites
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Basic knowledge in Electrical Engineering and Signal and Systems
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Assessment methods and criteria
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Combined examination
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Recommended literature
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Oppenheim, Schafer. Discrete-Time Signal Processing. Pearsons Education, 2013.
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Rao, Swamy. Digital Signal Processing: Theory and Practice. Springer, 2018.
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Smith S. Digital Signal Processing: A Practical Guide for Engineers and Scientists. Newnes, 2002. ISBN 978-0750674447.
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