Signal Processing
(ECTS: 4; SWS: 3)Lecturers
Dr.-Ing. Xiaoxiang Zhu, Prof. Dr. Richard Bamler, Dr.-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 |
Introduction, Mathematical Background, Systems & Signals, Fourier Series, Delta Functions, Convolution, Fourier Transform, LTI Systems, Discrete Time Signal Processing, Random Signals, Signal Reconstruction, Interpolation, Multidimensional Systems Theory Contents of the lab exercises1. All major lecture topics are practised in dedicated written exercises. Problems are solved as homework, solutions are presented in course. 2. Signal processing lab exercise with MATLAB |
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| literature | Lecture notes. Recommendations of relevant literature will be given. |
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)
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