Analog Signal Processing
- Jiří Hospodka (guarantor)
- Jiří Hospodka (guarantor)
- Department of Circuit Theory
The course deals with analog input-output blocks for signal transmission and processing. They discussed circuit solution of amplifiers and filters, including their design process, simulation and measurement.
Students learn the circuit concepts and possibilities for solving the contemporary analogue structures. The second part of the course describes the design and implementation of analog filters, including discrete-time circuits. The conclusion is devoted to the possibilities of computer optimization of electronic circuits and filters.
- Syllabus of lectures:
1. Basic classification of circuits and systems and possibilities of their simulation. Methods for computer analysis of electronic circuits
2. Analog circuits structures and their properties. Symbolic analysis of dominant traits.
3. Analysis of complex electronic transistor structures.
4. Op-Amp circuit structure, basic internal circuit diagram, operating principles, properties and simulation.
5. Design and implementation of AB class power amplifier in transistor level.
6. Analog filters, characterization, properties, design process. Frequency transformation, normalization.
7. Methods for NLP magnitude characteristic approximation. Bessel, Butterworth and Chebyshev approximation, elliptic filters - Inverse Chebyshev and Cauer approximation, design process, characteristics.
8. Possibilities of implementation of analog filters: passive realization using LC structures, active filters: LC prototype simulation, cascade synthesis, implementation using Op-Amp structures.
9. Implementation continuous-time operating filters suitable for monolithic integration. Structure based on OTA-C, current conveyors and other elements.
10. Discrete-time working circuits: basic characterization, principles of SC and SI circuits, description using the charge equations method.
11. Filters with switched capacitor (SC) - process of synthesis, comparison of continuous-time working and SC filter.
12. Optimization of electronic circuits and filters, basic definitions, general methods.
13. Use of genetic evolutionary algorithms to optimize continuous and discrete-time circuits, a combination of the methods.
- Syllabus of tutorials:
1. Introduction. Symbolic analysis of electronic circuits in Maple program.
2. Application of modified nodal analysis.
3. Multistage transistor amplifier stages.
4. Symbolic and numerical analysis of the dominant characteristics of the Op-Amp internal structure.
5. The laboratory measurements of the properties of the Class AB transistor power amplifier.
6. Analysis of LTI systems in the frequency and time domain. Frequency transformation.
7. Calculation of basic magnitude approximation of a filter, verifying the results in the design system.
8. Design and analysis of ARC LP filter.
9. Laboratory measurements of ARC filter parameters.
10. Synthesis of ARC filter based on the OTA-C structure by LC prototype simulation, analysis of the resultant structure characteristics.
11. Analysis of periodically switched circuits using charge equations.
12. Design and analysis of biquadratic section realized by switched capacitor technique.
13. Laboratory measurements of parameters of the switched capacitor filter.
14. Consultation, credit.
- Study Objective:
- Study materials:
1. Gray P.R., Hurst P.J., Lewis S.H.. Meyer R.G.: Analysis and Design of Analog Integrated Circuits, 5th Edition, John Wiley & Sons, Inc. 2009, ISBN: 978-0470245996
2. Schaumann, R., Valkenburg, M.E.V.: Design of Analog Filters. Oxford University Press, 2001.
3. Bičák J., Laipert M., Vlček M.: Lineární obvody a systémy, Vydavatelství ČVUT, Praha 2007, ISBN 978-80-01-03649-5
- Time-table for winter semester 2018/2019:
- Time-table is not available yet
- Time-table for summer semester 2018/2019:
Mon Tue Fri ThuroomT2:B3-802
- The course is a part of the following study plans:
- Electronics and Communications - electronics (compulsory elective course)
- Electronics and Communications - Audiovisual and Signal Processing (compulsory elective course)