Popis předmětu - AE2B99SAS
AE2B99SAS | Signals and systems | ||
---|---|---|---|
Role: | Rozsah výuky: | 2+2c | |
Katedra: | 13137 | Jazyk výuky: | CS |
Garanti: | Zakončení: | Z,ZK | |
Přednášející: | Kreditů: | 5 | |
Cvičící: | Semestr: | L |
Webová stránka:
https://moodle.fel.cvut.cz/courses/AE2B99SASAnotace:
Course explains basic terms and methods for continuous-time and discrete-time signal and system analysis.Výsledek studentské ankety předmětu je zde: AE2B99SAS
Cíle studia:
Students learn fundamentals of signal processing for communication, measurement, acoustics, multimedia technology and other fields. Both continuous and discrete time analysis is presented.Osnovy přednášek:
1. | Types of signals, definition and sense (deterministic and stochastic -- introductory information). | |
2. | Signal characteristics (average, energy, power, mutual energy, correlation). | |
3. | Spectral representation of continuous and discrete signals. | |
4. | Relation between transformations and their implications. | |
5. | Spectral density and its relation to correlation function. Parseval theorem. | |
6. | Systems classification and characteristic, definition of systems in time domain, convolution. | |
7. | Continuous and discrete time systems definition, transfer function and frequency response. | |
8. | Ideal signal sampling and interpolation. Spectral overlap, continuous and discrete time systems relation. | |
9. | Bandpass signals and their definition, complex envelope. | |
10. | Bandpass signals envelope and phase, sampling of baseband signals. | |
11. | Introduction to modulation, AWGN, SNR. | |
12. | Representative types of analog and digital modulation. | |
13. | Signal pass through non-linear systems, intermodulation. | |
14. | Selected applications. |
Osnovy cvičení:
1. | Introduction, signal definition, signal analysis methods. | |
2. | Signal characteristic determination - average, energy, correlation function. | |
3. | Spectral analysis of periodical signals via Fourier series. | |
4. | Spectral analyses of non-periodical signals, Fourier transform application. | |
5. | DFT performance and usage, multitone signal analysis. | |
6. | Transit of signal through linear time invariant system, transient states. | |
7. | System stability, continuous and discrete time system relation. | |
8. | System in time and frequency domains, system characteristics. | |
9. | System modelling in discrete time. | |
10. | Signal sampling and resampling, spectral overlay. | |
11. | Baseband and bandpass signal relation, frequency conversion, sampling. | |
12. | Bandpass signal processing, representative modulations. | |
13. | Non-linear bandpass system modelling and analysis (example: mixer, envelope detector). | |
14. | Semestral results summarize, examination of works. |
Literatura:
A. | V. Oppenheim, A. S. Wilsky with S.H. Nawab: Signals and Systems. Prentice-Hall, Second Edition, 1997. | |
J. | R. Buck, M. M. Daniel, A. C. Winter: Computer Explorations in Signals and Systems Using MATLAB. Prentice-Hall, 1997. |
Požadavky:
http://radio/courses/A2B99SAS/index.php http://moodle.kme.feld.cvut.cz/Poznámka:
Rozsah výuky v kombinované formě studia: 14p+6c |
Klíčová slova:
Signal processing. modulation, Fourier transformPředmět je zahrnut do těchto studijních plánů:
Plán | Obor | Role | Dop. semestr |
Stránka vytvořena 20.3.2025 17:50:56, semestry: Z,L/2025-6, Z,L/2024-5, připomínky k informační náplni zasílejte správci studijních plánů | Návrh a realizace: I. Halaška (K336), J. Novák (K336) |