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Signal Processing
Messtechnik
Last Updated: 2026-06-03 00:07:34
Abstract
Introduction of the basics of signal processing in spectroscopy. Fourier transformation, linear response theory, stochastic signals, digital data processing, Fourier spectroscopy.
Objective
Basics of signal processing in spectroscopy
Content
Fourier series, Fourier transformation, Laplace transformation, delta functions, linear system theory. Basic concepts of electronics: electronic noise, modulation, filters, lock-in amplifier. Stochastic signals: parameters of random variables, characterization of stochastic processes, correlation functions, random signals in the frequency domain. Digital data processing: sampling processes, A/D conversion, discrete Fourier transformation, apodisation, digital filters.
General Information
- Language
- German
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Messtechnik
Vorlesung: Di 12-14 & Do 9-10
Übungen: Do 8-9 / 9-10 (nach Ankündigung)
|
No time listed | 3 h weekly |
Offered In
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Electives (Students are free to choose from a range of D-CHAB chemistry courses appropriate to their level of study (please note admission requirements). In case of doubt, contact the student administration.)
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