Selected Chapters of Signal Processing

Garant předmětu:

Lecturer:

Jan Holub

Tutor:

Jan Holub

Supervisor:

Department of Measurement

Synopsis:

The course is dedicated to advanced signals processing methods used in contemporary electronic devices and measuring instruments. It concerns e.g. the other types of integral transformation (except Fourier), stochastic methods, processing of the multimedia signal, suppressing of unwanted effect, methods used for quality increasing of multimedia signal transmission, etc.

Requirements:

Syllabus of lectures:

1.Advanced techniques in signal processing.

2.Wavelet, Hadamard-Walsh transform

3.Stochastic signal processing, parametric statistical signal models

4.Adaptive filtering

5.Advanced spectral estimation methods

6.Advanced perceptual coding schemes, Multimedia Transmission Quality (MTQ) Measurements

7.Intrusive MTQ

8.Non-intrusive MTQ

9.Black box vs glass box MTQ methods

10.MTQ and QOE relations, signal processing optimization

11.Noise cancellation, intelligibility enhancement

12.Echo cancellation, and linear prediction

13.Computational complexity and power optimization

14.Spare

Syllabus of tutorials:

1.Matlab experiments I - integral transforms

2.Matlab experiments II - integral transforms

3.Matlab experiments III - integral transforms

4.Experiments on stochastic signal processing I

5.Experiments on stochastic signal processing II

6.Experiments on stochastic signal processing III

7.Experiments on stochastic signal processing IV

8.Experiments on MTQ I

9.Experiments on MTQ II

10.Experiments on MTQ III

11.Experiments on MTQ IV

12.Discussion, presentations I

13.Discussion,presentations II

14.Discussion, presentations III

Study Objective:

The course should acquaint students with non-traditional or high-specialized advanced methods of digital signal processing

Study materials:

Obligatory:

1. Haykin, S., „Adaptive Filter Theory“, 5th edition, Prentice Hall, International, 2013. ISBN 978-0132671453

2 Oppenhein, R.W.S.: Discrete-Time Signal Processing: Pearson New International Edition, Pearson 2013

3. Groechenig, K.: Foundations of Time-Frequency Analysis. Stuttgart: Springer, 2013. ISBN: 978-1-4612-0003-1

Recommended:

1.Vaseghi, S.V., Advanced Digital Signal Processing and Noise Reduction, 4th Ed., Wiley 2009, ISBN: 978-0-470-75406-1

2.Weisi L., Kacprzyk J., Tao, D.? Izquierdo, E., Wang, H.: Multimedia Analysis, Processing and Communications, Springer 2011, ISBN: 978-3-642-19551-8

Note:

Further information:

http://bilakniha.cvut.cz/cs/predmet11528904.html

Time-table for winter semester 2023/2024:

Time-table is not available yet

Time-table for summer semester 2023/2024:

Time-table is not available yet

The course is a part of the following study plans:

• Doctoral studies, daily studies (compulsory elective course)
• Doctoral studies, combined studies (compulsory elective course)
• Doctoral studies, structured daily studies (compulsory elective course)
• Doctoral studies, structured combined studies (compulsory elective course)