UM
The decomposition and compression of HRTF based on adaptive fourier decomposition
Fang Y.1; Shi M.1; Huang Q.1; Zhang L.2
2018-01-29
Source Publication4th International Conference on Smart and Sustainable City, ICSSC 2017
Volume2018-January
AbstractHead-Related Transfer Function (HRTFS) is the key to many applications in spatial audio. Its large amount of data makes it difficult to make real-time implementation. Reducing HRTF data is necessary and important. In this paper, we apply a new developed signal decomposition theory, named Adaptive Fourier Decomposition (AFD), to decompose and compress HRTF data, comparing with traditional Fourier's convergence property and PCA's compression property. Simulation results show that the proposed AFD-based decomposition and compression method enables evident performance improvement for HRTF.
Keywordadaptive fourier decomposition decomposition and compression Head-related transfer function principal components analysis
DOI10.1049/cp.2017.0120
URLView the original
Language英語
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Shanghai University
2.Universidade de Macau
Recommended Citation
GB/T 7714
Fang Y.,Shi M.,Huang Q.,et al. The decomposition and compression of HRTF based on adaptive fourier decomposition[C],2018.
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