Adaptive Identification of VIRGO-like Noise Spectrum

Astronomy and Astrophysics – Astrophysics – General Relativity and Quantum Cosmology

Scientific paper

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5 pages of LaTeX file and figures (using epsfig) in uuencoded compressed tar PostScript files. Poster given at the "Second Ama

Scientific paper

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.

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