From 2 November 2020, the autumn semester 2020 will take place online. Exceptions: Courses that can only be carried out with on-site presence.
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529-0441-00L  Signal Processing

SemesterAutumn Semester 2016
LecturersG. Jeschke, M. Yulikov
Periodicityyearly recurring course
Language of instructionGerman

AbstractIntroduction of the basics of signal processing in spectroscopy. Fourier transformation, linear response theory, stochastic signals, digital data processing, Fourier spectroscopy.
ObjectiveBasics of signal processing in spectroscopy
ContentFourier 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.
Lecture notesScript available