Subject description - A2M32VAD

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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


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


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


Basics in the digital processing of one-dimensional signals regarding Sophocles J. Orfanidis: Introduction to Signal Processing, free download via



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)