Analysis of AC networks; understanding signal propagation, analogue and digital filters, application of digital signal processing methods, deterministic and stochastic signals in spectral- and time domain, introduction to basic systems theory.
Signals and Systems (GAINBAN-JELEKREN-1)
Basic data
Name and type of the study programme
Computer Science Engineering, undergraduate program
Curriculum
2022
Classes / consultation hours
2 + 2 + 0 (L+S+Labs)
Credits
4 credits
Theory – Practice
Theory: 50%, Practice: 50%
Recommended semester
Semester 3
Study mode
full-time
Prerequisites
Physics + Electricity
Evaluation type
Colloquium
Course category
Compulsory
Language
English
Instructors
Responsible instructor
Dr. Csík Norbert
Responsible department
Department of Information Technologies
Instructor(s)
Dr. Csík Norbert
Checked by
Kovács Márk
Course objectives
Course content
Lectures
Classifying signals, introduction to the sinusoid waves Linearism, complex numbers as signal representations, the complex method Transfer function, filters with one breakpoints : RC-CR-LR-RL, analysis of RC Analogue filters with one breakpoints : RC-CR-LR-RL - analysis of CR Analogue filters with two breakpoints: RCC-CCR-LLR-RRL (PI, PD) Synthesis class "Exotic" filters: RCRC, Wien, TT-Notch and on the practice: Serial/Parallel RLC Fourier-series, Fourier-transformation and its discretized versions (DFT, FFT) Spectral features of the DFT / FFT Laplace-transform (LT) Calculating transfer functions, transfers and transients using the LT Convolution and its importance in the signal processing Synthesis class
Seminars
Sinusoid waves, revision of complex numbers Revision of complex arithmetic, the base of the complex method Using the complex method, analysis of AC circuits Using the complex method, analysis of AC circuits Synthesis practice RC-CR-LR-RL, analysis of LR and RL, Bode-diagram Reading and using the Bode-diagram, characteristics at low and high frequencies Analysis of serial and parallel RLC resonant circuits Synthesis practice Using formal Laplace-transformation (LT) for differential equations Calculating features of the transfer function based on LT Calculating transients using the LT
Acquired competences
Knowledge
- Knowledge of the principles and methods of natural sciences (mathematics, physics, other natural sciences) relevant to the field of IT. - He/she posesses a basic knowledge and engineering approach to signal processing, modelling, simulation and control of systems and networks.
Skills
- He/she uses the principles and methods of natural sciences (mathematics, physics, other natural sciences) relevant to the field of information technology in his/her engineering work for the design of information systems. He/she can apply his/her knowledge acquired during his/her study to acquire deeper knowledge in the field of information engineering and to process special literature and solve problems related to information technology. - He/she cooperates with other computer science engineers, electrical engineers during team work, and with other experts during the analysis and solution of a problems. - He/she constantly improves his/her knowledge and keeps up with the development of the computer engineering profession.
Attitude
- He/she genuinely represents the professional principles of engineering and information technology fields. - He/she aims to see through the entire engineering system not only his/her own field. - He/she is open to acquire new methods, programming languages and develop skills to use them. - He/she is open to get to know other fields which employ information technology tools, and open to work out information technology soultions in cooperation with the experts of other areas.
Autonomy and responsibilities
–
Additional professional competences
- Efficient use of digital technology, knowledge of digital solutions to fulfill educational objectives
Requirements, evaluation and grading
Mid-term study requirements
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Exam requirements
The exam is written and consists mainly of exercises. A total of 100 points can be obtained in 90 minutes.
Generative AI usage
Use of GAI tools is not permitted for solving assignments. This means GAI tools cannot be used to complete formative or summative assessments, and using GAI constitutes academic misconduct. The use of AI tools for spelling and grammar checking does not fall under this prohibition.
Study aids, laboratory background
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Readings
Compulsory readings
[1] Orhan Gazi: Signals and Systems, Springer, 2021, ISBN-978-30-311-7788-0
Recommended readings
[1] Richard G. Lyons: Understanding Digital Signal Processing, Prentice Hall, 3. edition, 2011. [2] D. Sundararajan: Signals and Systems, Springer, 2021, ISBN-978-30-311-9376-7 [3] Tarun Rawat: Signals and Systems, Oxford University Press, 2010, ISBN-978-01-980-6679-8 [4] Alan Oppenheim & Alan Willsky: Signals and Systems, PEARSON Education Limited, 2013, ISBN-978-12-920-2590-2