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Wavelet method to reduce binary confusion noise

Kazuhiro Hayama

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This 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.


PACS

04.80.Nn Gravitational wave detectors and experiments

07.05.Kf Data analysis: algorithms and implementation; data management

97.80.-d Binary and multiple stars

95.55.Ym Gravitational radiation detectors; mass spectrometers; and other instrumentation and techniques

MSC

83C35 Gravitational waves

Subjects

Instrumentation and measurement

Gravitation and cosmology

Astrophysics and astroparticles

Dates

Issue 10 (21 May 2005)

Received 29 October 2004, in final form 10 December 2004

Published 28 April 2005



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