Subject description - AE2M31SMU

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AE2M31SMU Signals in multimedia Extent of teaching:2+2c
Guarantors:  Roles:PO,V Language of
teaching:
EN
Teachers:  Completion:Z,ZK
Responsible Department:13131 Credits:5 Semester:L

Anotation:

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. Semestral project and oral examination.

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

Literature:

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

Requirements:

Basic knowledge of digital signal processing.

Subject is included into these academic programs:

Program Branch Role Recommended semester
MEKME2 Multimedia Technology PO 3
MEOI1 Artificial Intelligence V 3
MEOI5NEW Software Engineering V 3
MEOI5 Software Engineering V 3
MEOI4 Computer Graphics and Interaction V 3
MEOI3 Computer Vision and Image Processing V 3
MEOI2 Computer Engineering V 3
MEEEM1 Technological Systems V 3
MEEEM5 Economy and Management of Electrical Engineering V 3
MEEEM4 Economy and Management of Power Engineering V 3
MEEEM3 Electrical Power Engineering V 3
MEEEM2 Electrical Machines, Apparatus and Drives V 3
MEKYR4 Aerospace Systems V 3
MEKYR1 Robotics V 3
MEKYR3 Systems and Control V 3
MEKYR2 Sensors and Instrumentation V 3


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)