Sorry, you need to enable JavaScript to visit this website.

Gridless sound field decomposition based on reciprocity gap functional in spherical harmonic domain

Primary tabs

Citation Author(s):
Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari
Submitted by:
Yuhta Takida
Last updated:
8 July 2018 - 11:01am
Document Type:
Poster
Document Year:
2018
Event:
Presenters Name:
Yuhta Takida
Paper Code:
#1570440330

Abstract 

Abstract: 

A gridless sound field decomposition method based on the reciprocity gap functional (RGF) is proposed. An intuitive and powerful way of reconstructing a sound field inside a region including sound sources is to decompose the sound field into Green's functions. Current methods based on sparse representation require discretization of the reconstruction region into grid points to construct the dictionary matrix; however, this procedure causes an off-grid problem and has a high computational cost. We apply the RGF, which was first proposed in the field of inverse problems, to sound field decomposition in the spherical harmonic domain. The proposed method enables a sound field to be decomposed in a gridless manner with a computationally efficient algorithm. Numerical simulation results indicated that the reconstruction accuracy as well as the source localization accuracy can be improved by the proposed method compared with current methods, especially at low frequencies.

up
0 users have voted:

Dataset Files

main.pdf

(282)