Modelling coloured residual noise in gravitational-wave signal processing

View Researcher's Other Codes

Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).

Authors Christian Rover, R. Meyer, Nelson Christensen
Journal/Conference Name Classical and Quantum Gravity
Paper Category
Paper Abstract We introduce a signal processing model for signals in non-white noise, where the exact noise spectrum is ap rioriunknown. 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.
Date of publication 2011
Code Programming Language R
Comment

Copyright Researcher 2021