| Status | 已發表Published |
| The decomposition and compression of hrtf based on adaptive fourier decomposition | |
Fang Y.1; Shi M.1; Huang Q.1; Zhang L.2
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| 2017 | |
| Source Publication | IET Conference Publications
 |
| Volume | 2017 |
| Issue | CP719 |
| Abstract | Head-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. |
| Keyword | Adaptive fourier decomposition Decomposition and compression Head-related transfer function Principal components analysis |
| URL | View the original |
| Language | 英語English |
| Fulltext Access | |
| Document Type | Conference paper |
| Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
| Affiliation | 1.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], 2017. |
| APA | Fang Y.., Shi M.., Huang Q.., & Zhang L. (2017). The decomposition and compression of hrtf based on adaptive fourier decomposition. IET Conference Publications, 2017(CP719). |
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