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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024
UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

Digital Signal processing

The course is not on the list Without time-table
Code Completion Credits Range
QB-SZS Z,ZK 5 2P+2C
Garant předmětu:
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:
Data valid to 2024-03-27
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