Physics
Scientific paper
May 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005cqgra..22s.527h&link_type=abstract
Classical and Quantum Gravity, Volume 22, Issue 10, pp. S527-S530 (2005).
Physics
1
Scientific paper
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.
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