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Lecturer(s)
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Křesálek Vojtěch, doc. RNDr. CSc.
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Navrátil Milan, doc. Ing. Ph.D.
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Course content
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Topics: 1. Automated measuring workstations, communication buses, properties, SW support (VEE Pro, LabView). 2. SI system, units of measured quantities, unit conversions, basic terminology. 3. Basics of descriptive statistics, probability, random variable, random selection, probability distribution, processing of measured data, measurement uncertainties, law of uncertainty propagation. 4. Correlation and regression calculus, parameter estimation, hypothesis testing. 5. Noise of electronic circuits - Johnson noise, current, 1 / f, pink noise, noise temperature, amplifier noise figure, noise maps, SNR, noise suppression methods. 6. Impedance and impedance matching, instrument amplifiers. 7. Processing of analog and digital signals, principles of sampling conversion, Shannon's theorem, aliasing, signal spectrum - phenomenology. 8. Analog frequency filters, classification, basic types, AFCH, FFCH, areas of application 9. Basics of optical signal processing and data transmission, optical fibers, properties, parameters, losses in optical fibers, transmission windows 10. Lasers, construction, principle, classification, use. 11. Voltmeters, ammeters, ohmmeters, sine and non-sine signals, measurement of non-harmonic signals, true RMS. 12. Signal sources - function generators, sweep, pulse, frequency synthesis, microwave generators, spectrum analyzers, circuit analyzers (scalar and vector), reflectometers, logic analyzers. 13. Oscilloscopes, classification, principle, oscilloscopic probes, parameters. 14. Electromagnetic compatibility, classification, legislation, coupling mechanisms, types and measurements of interfering signals, interference suppressors.
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Learning activities and teaching methods
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unspecified
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| prerequisite |
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| Knowledge |
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| The student is expected to have basic knowledge of university mathematics, physics, included in previous semesters of study. |
| The student is expected to have basic knowledge of university mathematics, physics, included in previous semesters of study. |
| learning outcomes |
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| The student gains an overview of the basic principles of measurement, especially of electrical signals. |
| After completing the course, the student is acquainted with the issues of measurement technology, signal measurement and evaluation of measured data. For data processing methods, the necessary statistical methods are discussed in the course. |
| After completing the course, the student is acquainted with the issues of measurement technology, signal measurement and evaluation of measured data. For data processing methods, the necessary statistical methods are discussed in the course. |
| The student gains an overview of the basic principles of measurement, especially of electrical signals. |
| The student explains basic statistical concepts and methods. |
| The student explains basic statistical concepts and methods. |
| The student defines the individual nodes of the measurement chain. |
| The student defines the individual nodes of the measurement chain. |
| The student explains the physical and technical limits of measuring instruments. |
| The student explains the physical and technical limits of measuring instruments. |
| The student is oriented in the field of electromagnetic compatibility, recognizes coupling mechanisms, types of interfering signals and methods of their measurement. |
| The student is oriented in the field of electromagnetic compatibility, recognizes coupling mechanisms, types of interfering signals and methods of their measurement. |
| Skills |
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| The student independently designs a measurement experiment to measure mainly electrical signals. |
| The student independently designs a measurement experiment to measure mainly electrical signals. |
| The student obtains experimental data, evaluates it, and correctly interprets the results. |
| The student obtains experimental data, evaluates it, and correctly interprets the results. |
| The student develops software designed for measurement, including communication with instruments. |
| The student develops software designed for measurement, including communication with instruments. |
| The student applies measurement uncertainty theory to his/her experimental work in the laboratory. |
| The student applies measurement uncertainty theory to his/her experimental work in the laboratory. |
| The student analyzes a measurement chain and locates its weaknesses and suggests improvements. |
| The student analyzes a measurement chain and locates its weaknesses and suggests improvements. |
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Recommended literature
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DSP Elektronika od A do Z.
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Ďaďo, S., Kreidl M. Senzory a měřicí obvody. Praha, 1999. ISBN 80-010-2057-6.
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