Signal theory - A3B31TES

Credits 5
Semesters Summer
Completion Assessment + Examination
Language of teaching Czech
Extent of teaching 3P+2C
Annotation
Course explains basic terms and methods for continuous-time and discrete-time signal and system analysis.

Study targets
Background of continuous and discrete signals and systems.
Tests during semester and final test.
Course outlines
1. Introduction to signals
2. Basic features of systems
3. Systems in time-domain
4. Convolution and correlation
5. Properties and application of Laplace transform L-
6. Properties and application of Fourier transform and series
7. Properties and application of Discrete Fourier transform (DFT)
8. Properties and application of Z-transform
9. System function and frequency response
10. Signal sampling and reconstruction
11. Introduction to continuous-time filters
12. Introduction to discrete-time and digital filters
13. Quantization and limit cycles
14. Modulation
Exercises outlines
1. Basic signals, simulation in MATLAB
2. Time-domain characterisation of systems
3. Simulation of simple systems
4. Convolution and correlation
5. Application of Laplace transform
6. Application of Fourier transform
7. DFT and basic properties
8. Application of z-transform
9. System function, frequency response of 1st and 2nd order systems
10. Signal sampling and reconstruction
11. Continuous-time filter design
12. Digital filter design
13. Simulation of signal quantization
14. Simulation of modulation
Literature
1. G. F. Franklin, J. D. Powell, A. Emami-Naeini: Feedback Control of Dynamic Systems. Prentice-Hall, 6th Edition, 2009.
2. S. W. Smith: The Scientists and Engineer's Guide to Digital Signal Processing. California Technical Publishing, 1999.
3. A. V. Oppenheim, A. S. Wilsky with S. H. Nawab: Signals and Systems. Prentice-Hall, Second Edition, 1997.