Wavefield extraction using multi-channel chirplet decomposition

被引：0

作者：

Le Touze, Gregoire ^{[1
]}

Cristini, Paul ^{[1
]}

Favretto-Cristini, Nathalie ^{[1
]}

Blanco, Jacques ^{[2
]}

机构：

[1] CNRS, Lab Mecan & Acoust, F-13402 Marseille 20, France

[2] PhySeis Consultant, F-64350 Lalongue, France

来源：

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA | 2010年 / 127卷 / 04期

关键词：

acoustic field; acoustic signal processing; inverse problems; seismic waves; ATOMIC DECOMPOSITION;

D O I：

10.1121/1.3327245

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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.

引用

页码：EL140 / EL145

页数：6

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