Wavefield extraction using multi-channel chirplet decomposition.
In acoustical and seismic fields, wavefield extraction has always been a crucial issue to solve inverse problem. Depending on the experimental configuration, conventional methods of wavefield decomposition might no longer likely to hold. In this paper, an original approach is proposed based on a multichannel decomposition of the signal into a weighted sum of elementary functions known as chirplets. Each chirplet is described by physical parameters and the collection of chirplets makes up a large adaptable dictionary, so that a chirplet corresponds unambiguously to one wave component.
Le Touzé
Grégoire
G
Laboratoire de Mecanique et d'Acoustique-CNRS, 31 chemin Joseph-Aiguier, 13402 Marseille Cedex 20, France. le_touze@lma.cnrs-mrs.fr
Cristini
Paul
P
Favretto-Cristini
Nathalie
N
Blanco
Jacques
J
D000162:Acoustics; D000465:Algorithms; D003198:Computer Simulation; D055866:Earthquakes; D005844:Geology; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted; D013016:Sound; D013018:Sound Spectrography