Subject description - A2M31SMU

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A2M31SMU Signals in multimedia
Roles:PO, V Extent of teaching:2P+2C
Department:13131 Language of teaching:CS
Guarantors:  Completion:Z,ZK
Lecturers:  Credits:5
Tutors:  Semester:L


Course brings information about methods of sinal processing used in multimedia including 2-D analysis and modern methods.

Study targets:

Theoretical background of modern methods for 1-D and 2-D digital signal processsing.

Course outlines:

1. Properties of continuous-time systems
2. Time delay estimation using correlation and spectral analysis
3. Cepstral analysis
4. Noise reduction and signal restoration
5. Signal separation
6. Brain computer interface
7. State analysis of observing subject
8. Communication between person and multimedia system
9. 2-D sampling
10. 2-D convolution and correlation
11. 2-D DFT and windowing
12. Modern signal analysis I 13.Modern signal analysis II
14. Reserve

Exercises outline:

1. Application of basic properties of continuous-time systems
2. Methods for time delay estimation
3. Cepstral analysis-selected examples
4. Methods of noise reduction and signal restoration
5. Methods for signal separation
6. Brain computer interface-selected components
7. Picking-up biological signal
8. Examples of communication between person and multimedia system
9. Realisation of 2-D sampling
10. Implementation of 2-D convolution and correlation
11. Implementation of 2-D DFT and windowing
12. Examples of present-day methods I 13.Examples of present-day methods II
14. Reserve


1. R. C. Gonzales and R. E. Woods: Digital Image Processing, Third edition, Pearson Prentice Hall, 2008
2. S. V. Vaseghi: Advanced Signal Processing and Digital Noise Reduction. Wiley Teubner, 1997


Semestral project and oral examination.


Subject is included into these academic programs:

Program Branch Role Recommended semester
MPIB Common courses V
MPKME2 Multimedia Technology PO 2
MPEEM1 Technological Systems V 3
MPEEM5 Economy and Management of Electrical Engineering V 3
MPEEM4 Economy and Management of Power Engineering V 3
MPEEM3 Electrical Power Engineering V 3
MPEEM2 Electrical Machines, Apparatus and Drives V 3
MPKYR4 Aerospace Systems V 3
MPKYR1 Robotics V 3
MPKYR3 Systems and Control V 3
MPKYR2 Sensors and Instrumentation V 3

Page updated 3.7.2020 17:51:56, semester: Z,L/2020-1, L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)