CTU FEE Moodle
Signals in multimedia
This is a grouped Moodle course. It consists of several separate courses that share learning materials, assignments, tests etc. Below you can see information about the individual courses that make up this Moodle course.
Signals in multimedia (Main course) A2M31SMU
| Credits | 5 |
| Semesters | Summer |
| Completion | Assessment + Examination |
| Language of teaching | Czech |
| Extent of teaching | 2P+2C |
Annotation
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
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 outlines
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
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
2. S. V. Vaseghi: Advanced Signal Processing and Digital Noise Reduction. Wiley Teubner, 1997
Requirements
Semestral project and oral examination.
Signals in multimedia AD2M31SMU
| Credits | 5 |
| Semesters | Summer |
| Completion | Assessment + Examination |
| Language of teaching | Czech |
| Extent of teaching | 14KP+6KC |
Annotation
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
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 outlines
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
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
2. S. V. Vaseghi: Advanced Signal Processing and Digital Noise Reduction. Wiley Teubner, 1997
Requirements
Semestral project and oral examination.
Responsible for the data validity:
Study Information System (KOS)