Analog Signal Processing and Digitalization
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
AE3M38ZDS | Z,ZK | 6 | 2P+2L | English |
- Lecturer:
- Tutor:
- Supervisor:
- Department of Measurement
- Synopsis:
-
The course is dedicated to methods for preprocessing, digitalization and reconstruction of continuis signals. It is focused to the methods for achieving of high precision of transmission and suppression of spurious components. The laboratory exercises are divided into two parts: the first part is classical tasks; the second one is individual project of design of typically data acqusition system. The teaching is supported by the CAD system for measuring circuits.
- Requirements:
- Syllabus of lectures:
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1. Operational amplifiers for signal conditioning, negative feedback
2. Voltage, current, integration, charge, differential, instrumentation amplifiers
3. Signal processing for resistive, capacitance and inductance sensors, coherent detection
4. Signal processing for RTD, thermocouple and semiconductor temperature sensors
5. Methods of nonlinear signal processing, signal compression and expansion
6. Nonharmonic signal processing, rectifiers, RMS and peak to peak converters
7. Signal filtering, analog and switching filters design and application
8. Analog signals multiplexing and sampling, voltage references
9. High speed signal digitalisation, sampling, quantization, flash, half flash, approximation ADCs
10. High resolution signal digitalisation, integration and delta sigma A/D converters, dithering
11. Spectral analysis periodic and nonperiodic signals, windowing
12. Signal reconstruction, direct digital synthesis
13. Testing of digitalisators, sine wave fit test, spectral frequency test, histogram test
14. Hardware design techniques of A/D systems, grounding, shielding, noise reduction
- Syllabus of tutorials:
-
1. Introduction, program Simulink
2. Resistive bridge circuits
3. Capacitive sensor circuits
4. RTD temperature sensor circuits
5. Thermocouple circuits
6. Analog filters
7. Integration converters
8. Signal digitalization
9. Signal reconstruction
10. Project - data acqusition system, specification
11. Project - signal conditioning circuits
12. Project - sampling and digitalisation
13. Project - parameters verification
14. Results evolution
- Study Objective:
- Study materials:
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1.Vedral, Svatoš: Analog signal processing and digitization. Česká technika 2010. ISBN:978-80-01-06717-8
2. Pallas Areny, Webster: Sensor and signal conditioning. John Wiley Sons, 2001, ISBN 0-471-3323-1
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
-
- Cybernetics and Robotics - Senzors and Instrumention (compulsory course of the specialization)
- Open Informatics - Artificial Intelligence (elective course)
- Open Informatics - Computer Engineering (elective course)
- Open Informatics - Computer Vision and Image Processing (elective course)
- Open Informatics - Computer Graphics and Interaction (elective course)
- Open Informatics - Software Engineering (elective course)
- Communications, Multimedia and Electronics - Wireless Communication (elective course)
- Communications, Multimedia and Electronics - Multimedia Technology (elective course)
- Communications, Multimedia and Electronics - Electronics (elective course)
- Communications, Multimedia and Electronics - Networks of Electronic Communication (elective course)
- Electrical Engineering, Power Engineering and Management - Technological Systems (elective course)
- Electrical Engineering, Power Engineering and Management - Electrical Machines, Apparatus and Drives (elective course)
- Electrical Engineering, Power Engineering and Management - Electrical Power Engineering (elective course)
- Electrical Engineering, Power Engineering and Management - Economy and Management of Power Eng. (elective course)
- Electrical Engineering, Power Engineering and Management - Economy and Management of Electrical Eng. (elective course)
- Communications, Multimedia and Electronics - Communication Systems (elective course)
- Open Informatics - New - Software Engineering (elective course)