| Code |
Course Name |
Language |
Type |
| EHB 315E |
Digital Signal Processing |
English |
Elective |
| Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
| 3 |
6 |
3 |
0 |
0 |
| Course Prerequisites and Class Restriction |
| Prerequisites |
EHB 252 MIN DD
or EHB 252E MIN DD
or EHB 206 MIN DD
or EHB 206E MIN DD
or EEF 206 MIN DD
or EEF 206E MIN DD
|
| Class Restriction |
None |
| Course Description |
| Introduction to discrete-time systems, and digital signal processing. Discrete time linear systems, difference equations, discrete
convolution, stability. Discrete-time Fourier transform, analog-to-digital and digital-to-analog conversion, sampling. z-transform.
Discrete Fourier transform (DFT). Fast Fourier transform (FFT). Digital filter design and implementation. Fundamentals of
statistical signal processing. Random processes and power spectrum. Wiener filter. Fundamentals of adaptive filtering. Steepest
descent and LMS algorithms. Fundamentals of time-frequency analysis. Short-time-Fourier Transform (STFT). Spectrogram. |
|
