Kernel interpolation of acoustic transfer function between regions considering reciprocity
编号:45 访问权限:仅限参会人 更新:2020-08-05 10:17:00 浏览:409次 口头报告

报告开始:2020年06月09日 15:00(Asia/Shanghai)

报告时间:20min

所在会场:[R] Regular Session [R13] Sensor Networks and Adaptive Processing

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摘要
A method for interpolating the acoustic transfer function (ATF) between predetermined source and receiver regions is proposed. A previous work has shown that the region-to-region ATF can be estimated by separating it into a reverberant component added to a given direct component and representing the reverberant component with a finite sum of spherical wavefunctions. Our proposed method is based on the kernel ridge regression for estimating the reverberant component with a reproducing kernel Hilbert space defined to include acoustic properties into the interpolation. The proposed method based on the infinite dimensional expansion into spherical wavefunctions is independent of the empirical truncation used in the previous method. Furthermore, by taking the acoustic reciprocity into consideration, more accurate estimations are possible with a limited set of measurements compared to the truncation-based method. The advantages of the proposed method were validated by experiments based on a three-dimensional acoustic simulation.
关键词
acoustic transfer function; kernel ridge regression; reproducing kernel Hilbert space; soundfield interpolation; Helmholtz equation
报告人
Juliano Ribeiro
The University of Tokyo, Japan

稿件作者
Juliano Ribeiro The University of Tokyo, Japan
Natsuki Ueno The University of Tokyo, Japan
Shoichi Koyama The University of Tokyo, Japan
Hiroshi Saruwatari The University of Tokyo, Japan
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重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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