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A guide through waveform analysis: From instrumentation to data analysis and data data interpretation
Contributor(s): Leitner, Michael (Author)
ISBN: 3640617363     ISBN-13: 9783640617364
Publisher: Grin Verlag
OUR PRICE:   $25.11  
Product Type: Paperback - Other Formats
Published: July 2010
* Not available - Not in print at this time *
Additional Information
BISAC Categories:
- Computers | Computer Science
- Computers | Programming Languages - General
- Computers | Human-computer Interaction (hci)
Physical Information: 0.21" H x 5.83" W x 8.27" (0.27 lbs) 86 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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 fluctuating radio bursts, like Jovian S-bursts these receivers suffer 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 effective, 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.