Modelling coloured residual noise in gravitational-wave signal processing

Details Modelling coloured residual noise in gravitational-wave signal processing Modelling coloured residual noise in gravitational-wave signal processing

Jan 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011cqgra..28a5010r&link_type=abstract

Classical and Quantum Gravity, Volume 28, Issue 1, pp. 015010 (2011).

Physics

1

Scientific paper

We introduce a signal processing model for signals in non-white noise, where the exact noise spectrum is a priori unknown. The model is based on a Student's t distribution and constitutes a natural generalization of the widely used normal (Gaussian) model. This way, it allows for uncertainty in the noise spectrum, or more generally is also able to accommodate outliers (heavy-tailed noise) in the data. Examples are given pertaining to data from gravitational-wave detectors.

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