Signals and systems
- Department of Radioelectronics
Course explains basic terms and methods for continuous-time and discrete-time signal and system analysis.
- Syllabus of lectures:
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.
- Syllabus of tutorials:
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.
- Study Objective:
Students will learn fundamental topics of signal processing for many areas like digital communication, measurements, acoustics, multimedia technology and other signal processing related specializations. the course gives explanation of basic terms used ti describe and analyze signals and systems in continuous and discrete time.
- Study materials:
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.
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
- Cybernetics and Robotics - Robotics (elective course)
- Cybernetics and Robotics - Senzors and Instrumention (elective course)
- Cybernetics and Robotics - Systems and Control (elective course)
- Electrical Engineering, Power Engineering and Management - Applied Electrical Engineering (elective course)
- Electrical Engineering, Power Engineering and Management - Electrical Engineering and Management (elective course)
- Communications, Multimedia and Electronics - Communication Technology (compulsory course in the program)
- Communications, Multimedia and Electronics - Multimedia Technology (compulsory course in the program)
- Communications, Multimedia and Electronics - Applied Electronics (compulsory course in the program)
- Communications, Multimedia and Electronics - Network and Information Technology (compulsory course in the program)
- Open Informatics - Computer Systems (elective course)
- Open Informatics - Computer and Information Science (elective course)
- Open Informatics - Software Systems (elective course)
- Electrical Engineering, Power Engineering and Management (elective course)
- Communications, Multimedia and Electronics (compulsory course in the program)
- Cybernetics and Robotics (elective course)
- Open Informatics (elective course)
- Communications, Multimedia and Electronics - Communications and Electronics (compulsory course in the program)