CTU FEE Moodle
Design of Applications and DSP
Design of Applications and DSP A2M32VAD
| Credits | 5 |
| Semesters | Winter |
| Completion | Assessment + Examination |
| Language of teaching | Czech |
| Extent of teaching | 2P + 2L |
Annotation
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
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 outlines
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
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
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/
Signal Processing, free download via http://www.ece.rutgers.edu/~orfanidi/intro2sp/
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Study Information System (KOS)