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Efficient HRTF Computation using Adaptive Rectangular Decomposition Alok Meshram1 , Ravish Mehra1 , and Dinesh Manocha1 1 Dept. of Computer Science, University of North Carolina at Chapel Hill, 201 South Columbia Street
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Document Date: 2014-12-24 16:51:47

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File Size: 1,17 MB

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Madrid / Helsinki / /

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N. A. Gumerov A. E. / J. Ross Publishing / /

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United States / United Kingdom / China / Finland / Spain / /

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University of North Carolina / Club Fritz / Adaptive Rectangular Decomposition Our pipeline / Chapel Hill / University of Southampton / University of Maryland / /

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analytical solution / hrtf measurement systems / sound systems / computing / /

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Acoustics / /

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Chapel Hill / /

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Congress / Institute for Sound and Vibration Research / National Science Foundation / University of Maryland / Department of Computer Science / MIT / University of North Carolina / Acoustical Society of America / University of Southampton / /

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Alok Meshram / F. L. Wightman / E. M. Wenzel / M. Arruda / Dmitry Zotkin / Ramani Duraiswami / Yuvi Kahana / D. J. Kistler / /

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Maryland / North Carolina / /

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Asia-Pacific / South Columbia / /

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