Study and Comparison of Efficient Methods for 3-D Audio Spatialization Based on Linear Decomposition of HRTF Data
Several computationally efficient multisource spatialization methods for headphone reproduction are reviewed. They rely on the linear decomposition of head-related transfer functions (HRTFs) into spatial functions and reconstruction filters. Decomposition methods based on statistical analysis, eigen-value decomposition, and projection techniques are presented. Specifically methods yielding nonindividualized, discrete spatial functions-while minimizing the reconstruction error-are investigated.:
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