Adaptive Identification of VIRGO-like Noise Spectrum
| dc.creator | Cuoco, Elena | |
| dc.creator | Curci, Giuseppe | |
| dc.creator | Beccaria, Matteo | |
| dc.date | 1997-09-16 | |
| dc.date.accessioned | 2026-07-07T03:31:45Z | |
| dc.date.available | 2026-07-07T03:31:45Z | |
| dc.description | 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. | |
| dc.description | 5 pages of LaTeX file and figures (using epsfig) in uuencoded compressed tar PostScript files. Poster given at the "Second Amaldi Conference on Gravitational Waves" (CERN, 1-4 July 1997). To be published in the Proceedings (World Scientific, Singapore), eds. E. Coccia et al | |
| dc.identifier | https://arxiv.org/abs/gr-qc/9709041 | |
| dc.identifier | http://arxiv.org/abs/gr-qc/9709041 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/35980 | |
| dc.subject | General Relativity and Quantum Cosmology | |
| dc.subject | Astrophysics | |
| dc.title | Adaptive Identification of VIRGO-like Noise Spectrum | |
| dc.type | text |