Computer Science
Scientific paper
Oct 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004cqgra..21s1849a&link_type=abstract
Classical and Quantum Gravity, Volume 21, Issue 20, pp. S1849-S1854 (2004).
Computer Science
Scientific paper
The algorithms for the detection of gravitational waves are usually very complex due to the low signal-to-noise ratio. In particular, the search for signals coming from coalescing binary systems can be very demanding in terms of computing power, as in the case of the well-known standard matched filter technique. To overcome this problem, we tested a dynamic matched filter technique, based on matched filters, whose main advantage is the requirement of a lower computing power. In this work this technique is described, together with its possible application, as a pre-data analysis algorithm. The results on simulated data are also reported.
Acernese Fausto
Barone Fabrizio
de Rosa Rob
Eleuteri Antonio
Milano Leo
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