AnmeldenSignal Processing
(ECTS: 4; SWS: 3)Lecturers
Prof. Dr. Richard Bamler, M.Sc. Xiaoxiang Zhu, Dipl.-Ing. Stefan Auer| prerequisites | complex calculus, linear algebra, integrals, MATLAB programming skills are helpful |
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| objective | Students shall get a sound theoretical and practical understanding of continuous and discrete signal analysis in time and frequency domain. | |
| contents | Contents of lectures 1. Introduction 2. Mathematical Background 3. Systems & Signals 4. Fourier Series 5. Delta Functions 6. Convolution 7. Fourier Transform 8. LTI Systems 9. Time Discrete Signal Processing 10. Random Signals 11. Signal Reconstruction 12. Interpolation 13. Multidimensional Systems Theory Contents of the lab exercises 1. All major lecture topics are practised in dedicated written exercises. Problems are solved as a homework, solutions are presented in class. 2. Signal processing lab exercise with MATLAB |
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| literature | Lecture notes |
Downloads
01_Introduction_en.pdf (1,8 MB)02_Mathematical_Basics_en.pdf (157 KB)
03_Systems_and_Signals_en.pdf (88 KB)
04_Fourier_Series_en.pdf (159 KB)
05_Delta_Functions_en.pdf (63 KB)
06_Convolution_en.pdf (69 KB)
07_Fourier_Transform_en.pdf (265 KB)
08_LTI-Systems_en.pdf (244 KB)
10_Random_Signals_en.pdf (142 KB)
11_Signal_Reconstruction_en.pdf (110 KB)
12_Interpolation_en.pdf (124 KB)
13_Multidimensional_Systems_Theory.pdf (414 KB)
