Digital Signal Processing in Telecommunications

The course is a substitute for:

Digital Signal Processing in Telecommunications (X32DZS)

Lecturer:

Tutor:

Supervisor:

Department of Telecommunications Engineering

Synopsis:

This subject deals with principles and methods of digital signal processing starting with discretization and quantization of analog signals, digital signal processing using integral transformations (Z transformation , Fourier transformation, DFT, FFT, DCT, wavelets), digital filtering and adaptive filtering, low rate speech and image coding. Digital processing of two-dimensional signals is introduced. The accent is given on above mentioned methods and their realization in telecommunications equipment using of modern high-performance digital signal processors.

Requirements:

Syllabus of lectures:

1. Analog-to-digital signal conversion

2. Integral transformation

3. Implementation of integral transformations

4. Design of digital filters with infinite impulse response

5. Design of digital filters with finite impulse response

6. Decimation and interpolation filters

7. Finite word length effects in digital filters

8. Digital signal processors architecture

9. Adaptive filters

10. Applications of adaptive algorithms in telecommunications

11. Digitalisation of speech signal

12. Parametric coding methods

13. Digitalisation of radiosignals

14. Digitalisation of image and video

Syllabus of tutorials:

1. Software tools for analysis and synthesis of digital systems

2. Introduction into MATLAB

3. Example 1: Integral transformation (DFT, FFT, DCT)

4. Example 2: Analysis and synthesis of digital filters with infinite impulse response

5. Example 3: Analysis and synthesis of digital filters with finite impulse response

6. Example 4: Decimation and interpolation filters, over-sampling of signal

7. HW and SW tools for realisation of discrete systems using DSP

8. Assembly Language Tools for DSP

9. Assembly Language Tools for DSP

10. Assembly Language Tools for DSP

11. Assembly Language Tools for DSP

12. Test

13. Example 8: Measuring of realised system

14. Assessment

Study Objective:

Study materials:

1. Proakis J. G. , Manolakis D. G.: Digital signal processing. New Yersey: Prentice Hall, 1996.

2. Strobach, P.: Linear Prediction Theory. A Mathematical Basis for Adaptive Systems. Berlin: Springer - Verlag, 1990.

3. Rabiner, L., R., Schafer, R., W.: Digital Processing of Signals. Prentice Hall, 1981.

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: