Subject description - A2M31SMU
Summary of Study |
Summary of Branches |
All Subject Groups |
All Subjects |
List of Roles |
Explanatory Notes
Instructions
A2M31SMU |
Signals in multimedia |
Roles: | |
Extent of teaching: | 2P+2C |
Department: | 13131 |
Language of teaching: | CS |
Guarantors: | |
Completion: | Z,ZK |
Lecturers: | |
Credits: | 5 |
Tutors: | |
Semester: | L |
Web page:
https://moodle.fel.cvut.cz/courses/A2M31SMU
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.
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:
Semestral project and oral examination.
Subject is included into these academic programs:
Program |
Branch |
Role |
Recommended semester |
Page updated 30.4.2025 17:53:34, semester: Z/2026-7, L/2025-6, L/2026-7, Z/2025-6, Z,L/2024-5, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |