title: A passive inverse filter for Green's function retrieval.
abstract: Passive methods for the recovery of Green's functions from ambient noise require strong hypotheses, including isotropic distribution of the noise sources. Very often, this distribution is nonisotropic, which introduces bias in the Green's function reconstruction. To minimize this bias, a spatiotemporal inverse filter is proposed. The method is tested on a directive noise field computed from an experimental active seismic data set. The results indicate that the passive inverse filter allows the manipulation of the spatiotemporal degrees of freedom of a complex wave field, and it can efficiently compensate for the noise wavefield directivity.
authors.affiliation: Institut des Sciences de la Terre, CNRS, UMR5275 IFSTTAR Université de Savoie Université Joseph Fourier-Grenoble I INSU OSUG IRD: UR219, France. thomas.gallot@gmail.com
authors.forename: Thomas
authors.initials: T
authors.lastname: Gallot
authors.forename: Stefan
authors.initials: S
authors.lastname: Catheline
authors.forename: Philippe
authors.initials: P
authors.lastname: Roux
authors.forename: Michel
authors.initials: M
authors.lastname: Campillo