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- W2941877306 abstract "Spherical equivalent source method (S-ESM) using rigid spherical microphone arrays can simultaneously identify sound sources in all directions. In this paper, based on the reweighting and sparse representation frameworks, the sparsity-promoting iteratively reweighted least squares (IRLS) and reweighted ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sub> -norm minimization (referred as w-ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sub> -norm) are exploited to improve the performance of acoustic source identification for S-ESM. The numerical and experimental results indicate accurate acoustic source identification for the two iteratively reweighted algorithms. IRLS can provide good acoustic source identification over the wide frequency and measurement distance ranges, improving the performance of the established S-ESM. In addition, w-ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sub> -norm is also an alternative solution strategy for S-ESM, although at the expense of low computational efficiency and given prior information." @default.
- W2941877306 created "2019-05-03" @default.
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- W2941877306 date "2019-01-01" @default.
- W2941877306 modified "2023-10-14" @default.
- W2941877306 title "Iteratively Reweighted Spherical Equivalent Source Method for Acoustic Source Identification" @default.
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- W2941877306 doi "https://doi.org/10.1109/access.2019.2911857" @default.
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