Computer Science – Performance
Scientific paper
Mar 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004cqgra..21s.807a&link_type=abstract
Classical and Quantum Gravity, Volume 21, Issue 5, pp. S807-S810 (2004).
Computer Science
Performance
1
Scientific paper
The detection of gravitational waves from coalescing binary systems requires high-performance data analysis techniques for signal extraction from the detector noise. The optimal solution is the well-known standard matched filter technique, but its effective application may require large amounts of computing power, not always available. To overcome this problem, we developed a dynamic matched filter technique, still based on matched filters, whose main advantage is the requirement of a much lower computing power. In this paper we describe this technique, its possible application as a pre-data analysis algorithm and the tests we performed on simulated data.
Acernese Fausto
Barone Fabrizio
de Rosa Rob
Eleuteri Antonio
Milano Leo
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