Subject description - AE3M38ZDS

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AE3M38ZDS Analog Signal Processing and Digitalization Extent of teaching:2P+2L
Guarantors:  Roles:PO,V Language of
teaching:
EN
Teachers:  Completion:Z,ZK
Responsible Department:13138 Credits:6 Semester:Z

Anotation:

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.

Course outlines:

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

Exercises outline:

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

Literature:

1. Pallas Areny, Webster: Sensor and signal conditioning. John Wiley Sons, 2001, ISBN 0-471-3323-1
2. Ripka, P., Tipek, A. (ed.): Modern Sensors Handbook. ISTE 2007, ISBN 978-1-905209-66-8
3. Regtien, P.P.L.: Measurement Science for Engineers. Kogan Page Science, 2004, ISBN 1-9039-96589

Requirements:

Subject is included into these academic programs:

Program Branch Role Recommended semester
MEKME1 Wireless Communication V 1
MEKME5 Systems of Communication V 1
MEKME4 Networks of Electronic Communication V 1
MEKME3 Electronics V 1
MEKME2 Multimedia Technology V 1
MEKYR2 Sensors and Instrumentation PO 1
MEOI1 Artificial Intelligence V 1
MEOI5NEW Software Engineering V 1
MEOI5 Software Engineering V 1
MEOI4 Computer Graphics and Interaction V 1
MEOI3 Computer Vision and Image Processing V 1
MEOI2 Computer Engineering V 1
MEEEM1 Technological Systems V 1
MEEEM5 Economy and Management of Electrical Engineering V 1
MEEEM4 Economy and Management of Power Engineering V 1
MEEEM3 Electrical Power Engineering V 1
MEEEM2 Electrical Machines, Apparatus and Drives V 1


Page updated 16.12.2019 07:51:55, semester: Z,L/2020-1, L/2018-9, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)