Code: AE2M99CZS Digital Signal Processing
Lecturer: doc. Ing. Petr Pollák CSc. Weekly load: 2+2c Assessment: Z,ZK
Department: 13131 Credits: 5 Semester: W
Description:
The subject gives overview about basic methods of digital signal processing and their applications (examples from speech and biological signal processing): disrete-time signals and systems, signal characteristics in time and frequency domain, Fourier transform, fast algorithms for DFT computation, introduction to digital filter design, digital filtering in time and frequency domain, decimation and interpolation and their usage in filter banks, basics of LPC analysis. Further details can be found at <a href=http://noel.feld.cvut.cz/vyu/ae2m99czs>http://noel.feld.cvut.cz/vyu/ae2m99czs</a> .
Contents:
1. Introduction to DSP. Sampling theorem.
2. Basic characteristics of digital signals.
3. Autocorrelation and crosscorrelation functions
4. Fourier transform of discrete signal.
5. Properties of DFT, fast algorithms for DFT computation.
6. Spectral characteristics of stachastic and non-stationary signals.
7. Signal and system reprezentation in Z-domain
8. Digital Filtering I - FIR filters.
9. Digital filtering II - IIR filters.
10. Digital filtering in the frequency domain.
11. Basics of multi-band signal processing.
12. Basics of parametric methods of signal processing.
13. DSP applications in speech and biological signal processing. Signal compression.
14. Reserve.

Recommended literature:
[1] Oppenheim, A.V., Shafer, R.W.: Discrete-Time Signal Processing. 3rd edition. Prentice-Hall, 2009
[2] Vaseghi S.V..: Advanced Digital Signal Processing and Noise Reduction. 4th edition. Wiley, 2008
[3] The MathWorks: MATLAB User's and Reference Guides.
(Any other book devoted to digital signal processing.)
Keywords:
discrete-time signal, digital signal, DFT, autocorrelation, spectral analysis, digital systems, digital filtering, linear predictive analysis