Adaptive Identification of VIRGO-like Noise Spectrum

TL;DR

This paper presents an adaptive method to build an online whitening filter for VIRGO-like noise spectra by modeling the spectrum as an autoregressive process and testing various adaptive algorithms.

Contribution

It introduces a novel approach to real-time noise whitening by modeling the VIRGO spectrum and applying adaptive algorithms for filter construction.

Findings

Successful modeling of VIRGO noise as autoregressive process

Effective implementation of adaptive algorithms for whitening filter

Potential for real-time noise reduction in gravitational wave detectors

Abstract

The aim of this work is to show how it is possible to build an on line whitening filter in an adaptive way. We have modeled the VIRGO noise spectrum as an autoregressive stochastic process, after a pre-filtering of the theoretical curve which flattens the low frequency part of the spectrum. We have tested some very popular adaptive algorithms, based on the gradient methods and on the least squares methods with a lattice structure filter.