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.
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