Kazuhiro Hayama 2005 Class. Quantum Grav. 22 S527 doi:10.1088/0264-9381/22/10/053
Kazuhiro Hayama
Show affiliationsThis paper proposes a data analysis method to reduce the binary confusion noise. We analyse characteristics of the binary confusion noise in a wavelet space and extract a typical level of this noise. Using this level, we reduce the binary confusion noise and drive an approximate form of a burst signal subject to the confusion noise. We show that our method can reduce the influence of confusion noise and obtain an approximate waveform of the desired signal with high accuracy.
04.80.Nn Gravitational wave detectors and experiments
07.05.Kf Data analysis: algorithms and implementation; data management
Issue 10 (21 May 2005)
Received 29 October 2004, in final form 10 December 2004
Published 28 April 2005
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