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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Applications Development and DSP

The course is not on the list Without time-table
Code Completion Credits Range Language
AE2M32VAD Z,ZK 5 2+2l
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:
Data valid to 2019-08-20
For updated information see http://bilakniha.cvut.cz/en/predmet28104.html