Whitening of non-stationary noise from gravitational wave detectors

Computer Science – Performance

Scientific paper

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Scientific paper

We investigate the possibility of improving the detection efficiency for deterministic gravitational wave signals in the presence of non-stationary noise. The proposed method is based on an adaptive whitening procedure to be applied to the experimental data, and depends on a 'forgetting factor' parameter λ. We test the method on simulated data, and show that by choosing λ appropriately it is possible to reduce the non-stationarity noise of the time series and to implement a detector which approaches the performances of the optimal Wiener filter for a deterministic signal in the presence of non-stationary noise of known Gaussian statistic.

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