Subject description - A2M32VAD
Summary of Study |
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Explanatory Notes
Instructions
| A2M32VAD | Design of Applications and DSP | ||
|---|---|---|---|
| Roles: | PO, V | Extent of teaching: | 2P + 2L |
| Department: | 13132 | Language of teaching: | CS |
| Guarantors: | Completion: | Z,ZK | |
| Lecturers: | Credits: | 5 | |
| Tutors: | Semester: | Z | |
Anotation:
The subject makes familiar with selected parts of the digital signal processing in communication. The digital image processing is emphasized.Study targets:
Students learn advanced methods in the digital filter design and implementation of selected algorithms using digital signal processors.Course outlines:
| 1. | Digital signal processing in communication | |
| 2. | Digitization of image signals | |
| 3. | Representation of images | |
| 4. | Architecture of DSP, blocks, registers | |
| 5. | Architecture VLIW, instruction set | |
| 6. | Design tools, Code Composer Studio, assembler, linear assembler, C | |
| 7. | Code optimization, Intrinsics, CPU and EDMA, interrupts, cache | |
| 8. | Transformations DCT, KLT, DWT | |
| 9. | Advanced design of FIR filters | |
| 10. | Design of 2-D and m-D FIR filters | |
| 11. | Image filtering, filtering of sequences, adaptive filtering | |
| 12. | Image compression | |
| 13. | Video compression | |
| 14. | Advanced implementation of DSP algorithms |
Exercises outline:
| 1. | IDEs, Matlab, CCS | |
| 2. | IDE CCS - cont. | |
| 3. | Matlab, m-D signals, DCT, KLT, DWT | |
| 4. | Matlab, design of FIR filters, design of 2-D FIR filters | |
| 5. | CCS, implementation of convolution | |
| 6. | CCS, implementation of 2-D convolution | |
| 7. | CCS, implementation of echo and its supression | |
| 8. | CCS, implementation of FFT | |
| 9. | CCS, implementation of DCT | |
| 10. | CCS, implementace of encoder DTMF | |
| 11. | CCS, implementation of decoder DTMF | |
| 12. | CCS, implementation of adaptive FIR filter | |
| 13. | CCS, implementation of motion detection | |
| 14. | CCS, implementation of modulation, test |
Literature:
| 1. | Mitra, Sanjit K.: Digital Signal Processing, McGraw Hill 2007. | |
| 2. | Chassaing, R. - Reay, D.: Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK (Topics in Digital Signal Processing), Wiley-IEEE 2008. | |
| 3. | Moodle system |
Requirements:
Basics in the digital processing of one-dimensional signals regarding Sophocles J. Orfanidis: Introduction to Signal Processing, free download via http://www.ece.rutgers.edu/~orfanidi/intro2sp/Webpage:
https://moodle.fel.cvut.cz/courses/A2M32VADKeywords:
DSP, algorithms, implementation, image processing, video processing Subject is included into these academic programs:| Program | Branch | Role | Recommended semester |
| MPIB | Common courses | V | – |
| MPEEM1 | Technological Systems | V | 2 |
| MPEEM5 | Economy and Management of Electrical Engineering | V | 2 |
| MPEEM4 | Economy and Management of Power Engineering | V | 2 |
| MPEEM3 | Electrical Power Engineering | V | 2 |
| MPEEM2 | Electrical Machines, Apparatus and Drives | V | 2 |
| MPKYR4 | Aerospace Systems | V | 2 |
| MPKME4 | Networks of Electronic Communication | PO | 2 |
| MPKYR1 | Robotics | V | 2 |
| MPKYR3 | Systems and Control | V | 2 |
| MPKYR2 | Sensors and Instrumentation | V | 2 |
| Page updated 2.7.2020 07:53:05, 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) |