COMPRESSED SENSING FOR ACOUSTIC RESPONSE RECONSTRUCTION: INTERPOLATION OF THE EARLY PART

被引：11

作者：

Mignot, Remi ^{[1
]}

Daudet, Laurent ^{[1
]}

Ollivier, Francois ^{[2
]}

机构：

[1] UPMC Univ Paris 06, Univ Paris Diderot, Inst Langevin, ESPCI ParisTech,CNRS,UMR 7587, 10 Rue Vauquelin, F-75005 Paris, France

[2] UPMC Univ Paris 06, Inst Jean Le Rond Alembert, CNRS, UMR 7190, F-75005 Paris, France

来源：

2011 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS (WASPAA) | 2011年

关键词：

Compressed Sensing; Room Impulse Responses; Interpolation; Microphone Arrays; Source Localization; MODEL;

D O I：

10.1109/ASPAA.2011.6082298

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The goal of this paper is to interpolate Room Impulse Responses (RIRs) within a whole volume, from a few measurements. We here focus on the early reflections, that have the key property of being sparse in the time domain: this can be exploited in a framework of model-based Compressed Sensing. Starting from a set of RIRs randomly sampled in space by a 3D microphone array, we use a modified Matching Pursuit algorithm to estimate the position of a small set of virtual sources. Then, the reconstruction of the RIRs at interpolated positions is performed using a projection onto a basis of monopoles. This approach is validated both by numerical and experimental measurements using a 120-microphone 3D array.

引用

页码：225 / 228

页数：4

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