Subject description - QB-SAS
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Explanatory Notes
Instructions
| QB-SAS |
Signals and systems |
| Roles: | |
Extent of teaching: | 2+2c |
| Department: | 13137 |
Language of teaching: | |
| Guarantors: | |
Completion: | Z,ZK |
| Lecturers: | |
Credits: | 5 |
| Tutors: | |
Semester: | L |
Web page:
http://moodle.kme.fel.cvut.cz/moodle/course/view.php?id=43
Anotation:
Course explains basic terms and methods for continuous-time and discrete-time signal and system analysis.
Course outlines:
| 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. |
Exercises outline:
| 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. |
Literature:
| 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. |
Taylor, F.J.: Principles of signals and systems. McGraw-Hill, 1994.
Narasimhan, S.V., Veena, S: Signal Processing, principles and implementation. Alpha Science International, Harrow, 2005.
Proakis, J.G.: Digital Communications. McGraw-Hill, 2001.
Requirements:
Subject is included into these academic programs:
| Program |
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Role |
Recommended semester |
| Page updated 30.4.2025 17:53:34, semester: Z/2026-7, L/2025-6, L/2026-7, Z/2025-6, Z,L/2024-5, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |