Application of Digital Signal Processors

Lecturer:

Tutor:

Supervisor:

Department of Circuit Theory

Synopsis:

The subject is optional and it is destined for students of master stage of study in specialization Electronics. The course is to register in the third term of master program. In this course are presented architecture of modern digital signal processors and implementations of digital signal processing methods in real time. For registration of this course it is appropriate to have the knowledge in digital signal processing absolving subjects 31UCZ and 31CZS. Exercises are practical oriented. Students can implement complex projects concerning several subjects.

Requirements:

Syllabus of lectures:

1. Basic DSP algorithms and requirements on signal processors (SP)

2. Architecture and structures of SP, basic blocks of TMS processors

3. Arithmetic units, program and data memories, memory addressing, DMA

4. Instruction set of SP (TMS), comparison to general processors

5. Fixed-point and floating-point digital signal processors, arithmetic errors

6. Microcomputer systems - external hardware connection (A/D, D/A converters, memories, .)

7. Design methods of FIR digital filters, programming in assembler

8. Design of IIR digital filters, programming in assembler, cascading of biquad sections

9. Design methods of special digital filters, examples of programming in assembler

10. FFT, DIT and DIF algorithms deriving

11. Computation of FFT algorithms, implementation procedures for SP

12. Data representation in SP, data quantization effects

13. Algorithms for discrete periodic and nonperiodic signal generation

14. Examples of applications: speech processing, noise cancellation, analysis of time sequences

Syllabus of tutorials:

1. Design of basic algorithms using MATLAB

2. Development tools for signal processors - assembler, linker and program simulator, code composer studio

3. Data memory addressing

4. Instruction set of SP, programming in assembler, pipelining

5. Evaluation module for real-time processing. Individual projects

6. Implementation of digital FIR filters, solving of individual projects

7. Implementation of digital IIR filters, solving of individual projects

8. Implementation of FFT algorithms, solving of individual projects

9. Solving of individual projects

10. Solving of individual projects

11. Solving of individual projects

12. Solving of individual projects

13. Quantization effects in algorithms of digital signal processing

14. Presentation of individual projects, credit

Study Objective:

Study materials:

1. User's and Applications Guides for digital signal processors TMS, Texas Instruments

2. Web sites http:// www.ti.com a http://noel.feld.cvut.cz/psp

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Electronics - Electronic Systems- structured studies (compulsory elective course)
• Economics and Management in Electrical Engineering- structured studies (compulsory elective course)
• Electronics - Electronics and Photonics- structured studies (compulsory elective course)