ADAPTIVE FILTERING TECHNIQUES FOR INTERFEROMETRIC DATA PREPARATION: REMOVAL OF LONG-TERM SINUSOIDAL SIGNALS AND OSCILLATORY TRANSIENTS-Reference-Cited by-同舟云学术

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ADAPTIVE FILTERING TECHNIQUES FOR INTERFEROMETRIC DATA PREPARATION: REMOVAL OF LONG-TERM SINUSOIDAL SIGNALS AND OSCILLATORY TRANSIENTS

Published:2000-06 Issue:03 Volume:09 Page:275-279
ISSN:0218-2718
Container-title:International Journal of Modern Physics D
language:en
Short-container-title:Int. J. Mod. Phys. D

Author:

CHASSANDE-MOTTIN E.¹,DHURANDHAR S.¹²

Affiliation:

1. Albert-Einstein-Institut, Am Mühlenberg, 1, Germany

2. IUCAA, Postbag 4, Ganeshkhind Pune 411 007, India

Abstract

We propose an adaptive denoising scheme for poorly modeled non-Gaussian features in the gravitational wave interferometric data. Preliminary tests on real data show encouraging results.

Publisher

World Scientific Pub Co Pte Lt

Subject

Space and Planetary Science,Astronomy and Astrophysics,Mathematical Physics

Link

https://www.worldscientific.com/doi/pdf/10.1142/S021827180000027X

Reference2 articles.

1. Observational Limit on Gravitational Waves from Binary Neutron Stars in the Galaxy

2. Improved sensitivity in a gravitational wave interferometer and implications for LIGO

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Median-based noise floor tracker (MNFT): robust estimation of noise floor drifts in interferometric data;Classical and Quantum Gravity;2003-08-19

2. A neural network-based approach to noise identification of interferometric GW antennas: the case of the 40 m Caltech laser interferometer;Classical and Quantum Gravity;2002-05-31

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