Module Handbook

  • Dynamischer Default-Fachbereich geändert auf MV

Notes on the module handbook of the department Mechanical and Process Engineering

Die hier dargestellten veröffentlichten Studiengang-, Modul- und Kursdaten des Fachbereichs Maschinenbau und Verfahrenstechnik ersetzen die Modulbeschreibungen im KIS und wuden mit Ausnahme folgender Studiengänge am 28.10.2020 verabschiedet.

Ausnahmen:

Course MV-MTS-86610-K-7

Analog and digital measuring signal processing (2V+1U, 4.0 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K Lecture with exercise classes (V/U) 4.0 CP 78 h
2 V Lecture 28 h
1 U Lecture hall exercise class 14 h
(2V+1U) 4.0 CP 42 h 78 h

Basedata

SWS 2V+1U
CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. in WiSe
Level [7] Master (Advanced)
Language [DE] German
Lecturers
Area of study [MV-MTS] Measurement and Sensor Technology
Additional informations
Livecycle-State [NORM] Active

Contents

1. Introduction and terminology: signal terms, types and categories of signals, description of analog and digital measurement signals in the time range, signal description with basic functions, sequences

2. Description of analog signals in the frequency range: Fourier series, Fourier transformation, autocorrelation, power spectral density, Hilbert transformation

3. Measurement and processing of analog sensor signals: pure current and pure voltage circuits, analog measuring instruments, analog filters, carrier amplifiers, analog signal processing with operational amplifiers, AC measuring bridges, floating sensor, instrumentation amplifier, analog oscilloscope, analog function generator

4. Analog-digital converter and description of digital signals in the frequency range: A/D conversion, sample and hold element, quantification, discrete-time Fourier series, DTFT, scan theorem, over-sampling, down-sampling, DFT, Z transformation

5. Measurement and processing of digital signals: discrete-time estimation of energy spectra, structure function, digital filters, designing of digital filters, bus systems and integration into LabView, signal detection, statistical analysis and modeling of signals, ARMA models, prediction error, maximum likelihood estimation, digital multimeter, digital oscilloscope

6. Introduction to mathematical morphology: basic morphological operations - dilation, erosion, opening, closing, hough transformation, segmentation methods, Sobel filters, watershed transformation

The lecture will be supplemented with integrated exercises using practical examples in Matlab and LabView as well as with using instruments to generate and process signals.

Competencies / intended learning achievements

Students are able to
  • Describe and explain basic signal processing terminology
  • Analyze analog and digital signals in the time and frequency range
  • Describe and apply analog signal processing methods
  • Describe and apply digital signal processing methods
  • Explain terms related to morphological signal processing and apply fundamental methods

Literature

To be announced once the course begins

Materials

Presentations during the lecture and practice sessions, Matlab examples

Requirements for attendance (informal)

Modules:

Requirements for attendance (formal)

None

References to Course [MV-MTS-86610-K-7]

Module Name Context
[MV-MTS-M171-M-7] Analog and digital measuring signal processing P: Obligatory 2V+1U, 4.0 LP
[PHY-SP-7-M-7] Schwerpunktmodul Messtechnik WP: Obligation to choose 2V+1U, 4.0 LP