Digital Signal Processing in Telecommunications

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 its realization in telecommunications equipment using of modern high-performance digital signal processors.

Requirements:

Syllabus of lectures:

Analog-to-digital signal conversion. Integral transformation

Implementation of integral transformations

Design of digital filters with infinite impulse response

Design of digital filters with finite impulse response

Decimation and interpolation filters

Finite word length effects in digital filters

Digital signal processors architecture

Adaptive filters

Applications of adaptive algorithms in telecommunications

Digital modulations

Digitalisation of speech signal

Parametric coding methods

Image filtering, motion detection and compensation

Image compression

Syllabus of tutorials:

Study Objective:

Study materials:

Rabiner L.R., Gold B. Theory and application of digital signal processing. Prentice Hall 1975.

Dahnoun N.: Digital Signal Processing and Implementation using the TMS320C6000 DSP Platform, Prentice Hall, 2000,

www.ti.com

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Computer Technology - Software Engineering- structured studies (compulsory elective course)
• Computer Technology - Computer Network and Internet- structured studies (compulsory elective course)