Digital Signal processing

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Circuit Theory

Synopsis:

Course gives an overview of signal analysis methods including estimation of second order statistics.

Requirements:

Syllabus of lectures:

1.Linear and cyclic convolution, filtration in frequency domain

2.Overlap-add and overlap-save methods

3.DFT and introduction to spectral analysis

4.Digital filter design

5.Examples of digital filters

6.Quantization, analysis, simulation

7.Sampling of band-pass signals, discrete Hilbert transform

8.Re-sampling, decimation and interpolation

9.Filter bank

10.Short-time Fourier transform and wavelets

11.Random processes, basic features

12.Estimation of ensemble and time averages

13.Spectral and correlation estimation

14.Signal modelling

Syllabus of tutorials:

1.Filtration in frequency domain

2.Implementation of overlap-save method

3.Illustration of leakage and windowing

4.Examples of digital filter design

5.Simulation of frequently used filters

6.Simulation of coefficients and signal quantization

7.Sampling of band-pass signals

8.Decimation and interpolation

9.Filter bank implementation

10.Examples of short-time Fourier analysis

11.Basic features of random signals

12.Estimation of second-order statistics

13.Spectral and correlation estimation

14.Linear prediction

Study Objective:

Study materials:

1.A. V.Oppenheim, R.W. Schaffer with J. R. Buck: Discrete-Time Signal Processing. Prentice-Hall, 1999

2.M. H. Hayes: Statistical digital signal processing and modeling, John Wiley, 1996

3.Narasimhan, S.V., Veena, S: Signal Processing, principles and implementation. Alpha Science International, Harrow, 2005

4.Proakis, J.G.: Digital Communications. McGraw-Hill, 2001

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: