Applications Development and DSP

Lecturer:

Michal Šusta, Pavel Zahradník (guarantor)

Tutor:

Michal Šusta, Pavel Zahradník (guarantor)

Supervisor:

Department of Telecommunications Engineering

Synopsis:

The subject makes familiar with selected parts of the digital signal processing in communication. The digital image processing is emphasized.

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

Syllabus of lectures:

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.

Syllabus of tutorials:

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.

Study Objective:

Students learn advanced methods in the digital filter design and implementation of selected algorithms using digital signal processors.

Study materials:

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

Note:

Further information:

https://moodle.fel.cvut.cz/courses/AE2M32VAD

No time-table has been prepared for this course

The course is a part of the following study plans:

• Cybernetics and Robotics - Robotics (elective course)
• Cybernetics and Robotics - Senzors and Instrumention (elective course)
• Cybernetics and Robotics - Systems and Control (elective course)
• Open Informatics - Artificial Intelligence (elective course)
• Open Informatics - Computer Engineering (elective course)
• Open Informatics - Computer Vision and Image Processing (elective course)
• Open Informatics - Computer Graphics and Interaction (elective course)
• Open Informatics - Software Engineering (elective course)
• Communications, Multimedia and Electronics - Networks of Electronic Communication (compulsory course of the specialization)
• Electrical Engineering, Power Engineering and Management - Technological Systems (elective course)
• Electrical Engineering, Power Engineering and Management - Electrical Machines, Apparatus and Drives (elective course)
• Electrical Engineering, Power Engineering and Management - Electrical Power Engineering (elective course)
• Electrical Engineering, Power Engineering and Management - Economy and Management of Power Eng. (elective course)
• Electrical Engineering, Power Engineering and Management - Economy and Management of Electrical Eng. (elective course)
• Cybernetics and Robotics - Air and Space Systems (elective course)
• Open Informatics - New - Software Engineering (elective course)