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A guide through waveform analysis: From instrumentation to data analysis and data data interpretation. Magisterarbeit

A guide through waveform analysis: From instrumentation to data analysis and data data interpretation. Magisterarbeit

Autorzy
Wydawnictwo Grin Verlag
Data wydania
Liczba stron 84
Forma publikacji książka w miękkiej oprawie
Język angielski
ISBN 9783640617364
Kategorie Architektura informacji
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Master's Thesis from the year 2003 in the subject Computer Science - Theory, grade: sehr gut, University of Graz, language: English, abstract: Radio astronomical receivers are spectral analyzing devices capable to resolve the acquired signal in terms of time and frequency resolution. For fast uctuating radio bursts, like Jovian S-bursts these receivers su er from their low spectral resolution. Further on, phasing information is generally not contained in common spectral analysis. The development of the so-called waveform receiver (WFR) is a successful step further being able to get informations on S-burst substructures. By capturing the waveform rather than the derivated dynamic spectrum, post processing methods allow various methods of detailed signal substructure analysis. Especially the method of wavelet transformation turns out to be very e ective, when dealing with intrinsic signal information. This master thesis is a deep in detail description of the waveform receiving system. It starts with an overview chapter, describing the kind of scientific work possible with this system. Chapter 2 describes the hard and software configuration of the whole system. Chapter 3 is a user manual and shows how to operate the system from installation, observation to data backup. Chapter 4 describes how to perform data analysis with matlab. This data analysis includes Fourier and Wavelet transformation. The appendix shows a preview collection of the best data sets retrieved with this systems during two observation campaigns in Ukraine and France.

A guide through waveform analysis: From instrumentation to data analysis and data data interpretation. Magisterarbeit

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