Brief description
The lecture Discrete Time Signal Processing provides an introduction to elementary techniques of digital signal processing. Particular emphasis is placed on a description that is as clear and practice-orientated as possible. Students gain their own practical experience in the exercises through the use of Python.
Lecture contents
- Discrete-time signals: elementary signals, even/odd signals, harmonic exponential oscillations
- Fourier series of periodic discrete-time signals: Parseval theorem, symmetry relations
- Discrete-time systems: LTI, impulse response
- Fourier transform of discrete-time signals
- Sampling theorem
- Difference equations and z-transform
- FIR and IIR filter design
- DFT, FFT
- Cyclic convolution, overlap-add and overlap-save
- Multirate signal processing
Recommended literature
Doblinger, Gerhard: "Zeitdiskrete Signale und Systeme", An introduction to the basic methods of digital signal processing
