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In this letter, a Two-Dimension Common Factor Decomposition (2D-CFD) algorithm is proposed to represent the 3D (time, azimuth and elevation) head-related impulse response (HRIR) dataset with two factorized matrices. One matrix is made up of a set of common factor responses extracted from HRIRs with the same azimuth angle and carries azimuthal information contained in original HRIR dataset. The other...
In this paper, an algorithm to decompose Head-Related impulse response(HRIR) into the convolution of two factor responses is presented. By this Common Factor Decomposition (CFD) algorithm a group of HRIRs can share a common factor(CF) response while differ only in the other factor response which carries all directional information. The directional factor(DF) response is modeled as infinite impulse...
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