Toward the detection of gravitational waves under non-Gaussian noises II. Independent component analysis
Open Access
- 1 January 2016
- journal article
- research article
- Published by Japan Academy in Proceedings of the Japan Academy, Series B
- Vol. 92 (8) , 336-345
Abstract
We introduce a new analysis method to deal with stationary non-Gaussian noises in gravitational wave detectors in terms of the independent component analysis. First, we consider the simplest case where the detector outputs are linear combinations of the inputs, consisting of signals and various noises, and show that this method may be helpful to increase the signal-to-noise ratio. Next, we take into account the time delay between the inputs and the outputs. Finally, we extend our method to nonlinearly correlated noises and show that our method can identify the coupling coefficients and remove non-Gaussian noises. Although we focus on gravitational wave data analysis, our methods are applicable to the detection of any signals under non-Gaussian noises.Keywords
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This publication has 16 references indexed in Scilit:
- Characterization of non-Gaussianity in gravitational wave detector noisePhysical Review D, 2016
- Observation of Gravitational Waves from a Binary Black Hole MergerPhysical Review Letters, 2016
- Advanced LIGOClassical and Quantum Gravity, 2015
- Student-based filter for robust signal detectionPhysical Review D, 2011
- Modelling coloured residual noise in gravitational-wave signal processingClassical and Quantum Gravity, 2010
- Noise from scattered light in Virgo's second science run dataClassical and Quantum Gravity, 2010
- Independent component analysis, A new concept?Signal Processing, 1994
- Detection, measurement, and gravitational radiationPhysical Review D, 1992
- Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architectureSignal Processing, 1991
- On Information and SufficiencyThe Annals of Mathematical Statistics, 1951