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Coalescence of low mass compact binaries of neutron stars and black holes areprimary burst sources for LIGO and VIRGO.Of importance in the early stages ofobservations will be the classification of candidate detections by source-type.The diversity in source parameters and serendipity in any new window ofobservations suggest to consider model-independent detection algorithms. Here afrequency dynamics algorithm is described which extracts a trajectory in the$\dot{f}(f)$-plane from the noisy signal. The algorithm is studied in simulatedbinary coalescence. Robust results are obtained with experimental noise data.Experiments show the method to be superior to matched filtering in the presenceof model imperfections.Comment: to appear in Rapid Commun, Phys Rev

physical review. d. particles, fields, gravitation, and cosmology/physical review. d. particles and fields

An<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>ḟ</mml:mi><mml:mn /><mml:mo>(</mml:mo><mml:mi>f</mml:mi><mml:mo>)</mml:mo><mml:mn /></mml:math>-frequency dynamics algorithm for gravitational waves

Anḟ(f)-frequency dynamics algorithm for gravitational waves