Subject description - AE2M99CZS

Summary of Study | Summary of Branches | All Subject Groups | All Subjects | List of Roles | Explanatory Notes               Instructions
AE2M99CZS Digital Signal Processing Extent of teaching:2+2c
Guarantors:  Roles:P,V Language of
Teachers:  Completion:Z,ZK
Responsible Department:13131 Credits:5 Semester:Z


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=>;<;/a> .

Study targets:

Students should acquire theoretical and practical experiences about basic DSP techniques and the most frequent applications. Simple implementations and simulations of basic DSP methods in MATLAB environment are solved in seminars of the subject. Extended level is possible to be managed within individual projects.

Course outlines:

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.

Exercises outline:

1. Introduction to MATLAB and other tools
2. Computation of basic time-domain characterstics in MATLAB
3. Autocorrelation analysis and its applications
4. Discrete Fourier Transform (DFT) and its properties, interpolation, zero-padding
5. Spectral analysis of deterministic signals
6. Spectral analysis of stochastic and non-stationary signals
7. Discrete-time systems: basic properties, frequency repsonse
8. Design of digital FIR filters
9. Design of digital IIR filters
10. Digital filtering in frequency domain, implementation of signal segmentation
11. Parametric metods of DSP
12. Basics of multi-band signal processing
13. Consultations on semester works
14. Project presentation, credit


[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.)


Bases of signal and system theory with necessary mathematical background are supposed as preliminary knowledge.



discrete-time signal, digital signal, DFT, autocorrelation, spectral analysis, digital systems, digital filtering, linear predictive analysis

Subject is included into these academic programs:

Program Branch Role Recommended semester
MEKME1 Wireless Communication P 1
MEKME5 Systems of Communication P 1
MEKME4 Networks of Electronic Communication P 1
MEKME3 Electronics P 1
MEKME2 Multimedia Technology P 1
MEOI1 Artificial Intelligence V 1
MEOI5NEW Software Engineering V 1
MEOI5 Software Engineering V 1
MEOI4 Computer Graphics and Interaction V 1
MEOI3 Computer Vision and Image Processing V 1
MEOI2 Computer Engineering V 1
MEEEM1 Technological Systems V 1
MEEEM5 Economy and Management of Electrical Engineering V 1
MEEEM4 Economy and Management of Power Engineering V 1
MEEEM3 Electrical Power Engineering V 1
MEEEM2 Electrical Machines, Apparatus and Drives V 1
MEKYR4 Aerospace Systems V 1
MEKYR1 Robotics V 1
MEKYR3 Systems and Control V 1
MEKYR2 Sensors and Instrumentation V 1

Page updated 24.6.2019 17:52:59, semester: Z,L/2020-1, L/2018-9, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)