Not logged in.

Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings No
Title Computing the Fourier Transformation over Temporal Data Streams (Invited Talk)
Organization Unit
Authors
  • Michael Hanspeter Böhlen
  • Muhammad Saad
Presentation Type keynote
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 978-3-95977-127-6
ISSN 1868-8969
Page Range 1:1 - 1:4
Event Title 26th International Symposium on Temporal Representation and Reasoning, TIME 2019
Event Type other
Event Location Malaga, Spain
Event Start Date October 16 - 2019
Event End Date October 19 - 2019
Series Name LIPIcs : Leibniz International Proceedings in Informatics
Number 147
Publisher Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
Abstract Text In radio astronomy the sky is continuously scanned to collect frequency information about celestial objects. The inverse 2D Fourier transformation is used to generate images of the sky from the collected frequency information. We propose an algorithm that incrementally refines images by processing frequency information as it arrives in a temporal data stream. A direct implementation of the refinement with the discrete Fourier transformation requires O(N^2) complex multiplications to process an element of the stream. We propose a new algorithm that avoids recomputations and only requires O(N) complex multiplications.
Free access at DOI
Digital Object Identifier 10.4230/LIPIcs.TIME.2019.1
Other Identification Number merlin-id:18929
PDF File Download from ZORA
Export BibTeX
EP3 XML (ZORA)
Funders Swiss National Science Foundation (SNSF) through project number 407550_167177