Least-squares estimation of sound source directivity using convex selector of a better solution

Yuki Tamura, Kohei Yatabe, Yasuhiro Oikawa

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


Many acoustical simulation methods have been studied to investigate acoustical phenomena. Modeling of the directivity pattern of a sound source is also important for obtaining realistic simulation results. However, there has been little research on this. Although there has been research on sound source identification, the results might not be in a suitable form for numerical simulation. In this paper, a method for modeling a sound source from measured data is proposed. It utilizes the sum of monopoles as the physical model, and the modeling is achieved by estimating the model parameters. The estimation method is formulated as a convex optimization problem by assuming the smoothness of a solution and the sparseness of parameters. Moreover, an algorithm based on the alternating direction method of multipliers (ADMM) for solving the problem is derived. The validity of the method is evaluated using simulated data, and the modeling result for an actual loudspeaker is shown.

Original languageEnglish
Pages (from-to)128-136
Number of pages9
JournalAcoustical Science and Technology
Issue number3
Publication statusPublished - 2017


  • Alternating direction method of multipliers (ADMM)
  • Convex optimization
  • Inverse problems
  • Least-squares method
  • Sparse approximation

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


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