CTU FEE Moodle
Applications Development and DSP
B232 - Summer 23/24
Applications Development and DSP - AE2M32VAD
| Credits | 5 |
| Semesters | Summer |
| Completion | Assessment + Examination |
| Language of teaching | English |
| 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 suppression.
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 suppression.
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/
Requirements for completion of the subject: Solving of an individual project
Signal Processing, free download via http://www.ece.rutgers.edu/~orfanidi/intro2sp/
Requirements for completion of the subject: Solving of an individual project