Signal Processing in Telecommunications II
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | English |
| Code | 440-4118/04 |
| Abbreviation | ZSK II |
| Course title | Signal Processing in Telecommunications II |
| Credits | 6 |
| Coordinating department | Department of Telecommunications |
| Course coordinator | Ing. Jan Skapa, Ph.D. |
Subject syllabus
1. Basic types of signals. Basic signal transforms.
2. Signal spectrum, Fourier series. Fourier transform.
3. Spectra of basic types of signals.
4. Basic signal transforms and their influence on the signal spectrum.
5. 1D and 2D ideal sampling functions, sampling theorem.
6. Reconstruction of signals by ideal low-pass filter. Reconstruction with a real filter.
7. 1D and 2D discrete Fourier transform and discrete cosine transforms, their properties and comparison.
8. Short-term Fourier transform, spectrogram.
9. Window functions and their spectral properties.
10. Filtration and its influence on the signal spectrum. Telephone speech band.
11. 2D discrete Fourier transform and its relation to optical imaging systems. Airy shape.
12. Discrete wavelet transform DWT as filtering. Filter banks.
13. Multidimensional signals, their interpretation, processing and display. Principal component analysis.
The teaching format is chosen so that students, through the modeling of phenomena from everyday experience, get to the mathematical relationships that describe these phenomena and then learn to use these relationships retrospectively.
The numbering only separates the different thematic blocks and does not have to correspond with the topics discussed in the individual weeks of the semester.
2. Signal spectrum, Fourier series. Fourier transform.
3. Spectra of basic types of signals.
4. Basic signal transforms and their influence on the signal spectrum.
5. 1D and 2D ideal sampling functions, sampling theorem.
6. Reconstruction of signals by ideal low-pass filter. Reconstruction with a real filter.
7. 1D and 2D discrete Fourier transform and discrete cosine transforms, their properties and comparison.
8. Short-term Fourier transform, spectrogram.
9. Window functions and their spectral properties.
10. Filtration and its influence on the signal spectrum. Telephone speech band.
11. 2D discrete Fourier transform and its relation to optical imaging systems. Airy shape.
12. Discrete wavelet transform DWT as filtering. Filter banks.
13. Multidimensional signals, their interpretation, processing and display. Principal component analysis.
The teaching format is chosen so that students, through the modeling of phenomena from everyday experience, get to the mathematical relationships that describe these phenomena and then learn to use these relationships retrospectively.
The numbering only separates the different thematic blocks and does not have to correspond with the topics discussed in the individual weeks of the semester.
E-learning
Literature
[1] IFEACHOR, Emmanuel C., JERVIS, Barrie W.: Digital signal processing: a practical approach. 2nd ed. Harlow: Prentice Hall, 2002. ISBN 0-201-59619-9.
[2] GONZALEZ, Rafael C., WOODS, Richard Eugene, EDDINS Steven L.: Digital image processing using MATLAB. 2nd ed. Spojené státy americké: Gatesmark Publishing, c2009. ISBN 978-0-9820854-0-0.
[3] BLANCHET, Gérard, CHARBIT, Maurice. [i]Digital signal and image processing using MATLAB.[/i] Přeložil Antoine HERVIER. London: ISTE, 2006. ISBN 1-905209-13-4.
[2] GONZALEZ, Rafael C., WOODS, Richard Eugene, EDDINS Steven L.: Digital image processing using MATLAB. 2nd ed. Spojené státy americké: Gatesmark Publishing, c2009. ISBN 978-0-9820854-0-0.
[3] BLANCHET, Gérard, CHARBIT, Maurice. [i]Digital signal and image processing using MATLAB.[/i] Přeložil Antoine HERVIER. London: ISTE, 2006. ISBN 1-905209-13-4.
Advised literature
[1] ANTONIOU, Andreas: Digital Filtres, analysis, design and applications. 1st Edition. McGraw-Hill, 1993. ISBN-13: 978-0071454247 . ISBN-10: 0071454241 .
[2] GONZALEZ, Rafael C., WOODS, Richard Eugene: Digital image processing. 3rd ed. Upper Saddle River: Pearson Prentice Hall, c2008. ISBN 978-0-13-168728-8 .
[3] MCANDREW, Alasdair. [i]Introduction to digital image processing with MATLAB.[/i] Boston: Thomson Course Technology, c2004. ISBN 0-534-40011-6.
[2] GONZALEZ, Rafael C., WOODS, Richard Eugene: Digital image processing. 3rd ed. Upper Saddle River: Pearson Prentice Hall, c2008. ISBN 978-0-13-168728-8 .
[3] MCANDREW, Alasdair. [i]Introduction to digital image processing with MATLAB.[/i] Boston: Thomson Course Technology, c2004. ISBN 0-534-40011-6.