Signal analysis and processing
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
BUM-AZS | Z,ZK | 6 | 2P+2C | Czech |
- Course guarantor:
- Jiří Hospodka
- Lecturer:
- Jiří Hospodka
- Tutor:
- Jiří Hospodka
- Supervisor:
- Department of Circuit Theory
- Synopsis:
-
The course covers both analog input-output blocks for signal transmission and processing, as well as the possibilities of subsequent digital signal processing and measured data analysis. It discusses circuit solutions for amplifiers and filters, including their design, as well as methods for processing digitized data. Students will become familiar with both theoretical principles of signal processing and contemporary means of implementation, including analog structures and algorithms for subsequent digital processing.
- Requirements:
- Syllabus of lectures:
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1.Analog signal processing tools, circuit structure of operational amplifiers (OAs), and their real-world properties.
2.Impact of static parameters of OAs on basic linear operational circuit configurations.
3.Dynamic properties of OAs and their effects, calculation of OA limit parameters for precise applications, and achievable parameters of modern component bases.
4.Frequency filters: property characterization and transfer function design procedures.
5.Implementation of electrical filters: passive and active analog filter realizations, use of modern circuit components.
6.Discrete-time circuits: basic characterization, application areas, principles of switched-capacitor (SC) and switched-current (SI) circuits in analog filters.
7.Optimization of electronic circuits and filters using genetic evolutionary algorithms.
8.Classification and characteristics of signals and their significance for digital processing, spectral analysis, classification of systems, and their properties.
9.Sampling of digital signals, interpolation, spectral aliasing, resampling, and decimation.
10.Effects of quantization in digital systems.
11.Fundamentals of parametric modeling of digital signals (LPC).
12.Digital filters: description, properties, design, and applications. Fundamentals of adaptive digital filters and typical implementations (LMS, RLS).
13.Principle and application of filter banks in digital signal processing, typical examples, and design demonstrations.
14.Methods for reducing additive and convolutional noise and enhancing digital signals.
- Syllabus of tutorials:
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1.Analysis of electronic circuits using circuit simulators.
2.Analysis of selected transistor circuit structures.
3.Calculation of real-world effects on basic circuit applications.
4.Behavioral models of OAs and computer simulation of basic circuits with real OAs.
5.Transfer function design for frequency filters using design systems.
6.Analysis of selected analog filter structures, including periodically switched circuits.
7.Laboratory measurement of switched-capacitor filter parameters.
8.Signal generation, characterization of digital signals, time and frequency analysis, system classification.
9.Application of sampling, interpolation, and resampling methods for digital signals.
10.Properties of discrete-time systems. Quantization effects in discrete systems.
11.Implementation of basic parametric modeling methods for digital signals and their applications.
12.FIR and IIR digital filters, frequency-domain filtering.
13.Use and visualization of filter banks, applications.
14.Implementation and application of basic noise reduction and signal enhancement methods.
- Study Objective:
- Study materials:
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1.Hospodka: Electronic Circuits. Online. Available at: https://hippo.feld.cvut.cz/vyuka/soubory/ElectronicCircuits.pdf, [cit. 2025].
2.Dostál J.: Operational amplifiers 2nd Edition, 2013, eBook ISBN: 9781483292366
3. Schaumann, R., Valkenburg, M.E.V.: Design of Analog Filters 2nd Edition. Oxford University Press, 2009.
4.Alan V. Oppenheim, Ronald W. Schafer: Discrete-Time Signal Processing, Prentice Hall Signal Processing, 2009, ISBN-13: 978-0131988422
5.Oppenheim, A. V., Willsky, A. S., Young, I. T., Signals and systems, Harlow: Pearson, 2013.
6.Monson Hayes, Statistical digital signal processing and modeling. Wiley, 1999, ISBN: 978-0-471-59431-4
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: