| DC Field | Value | Language |
|---|
| dc.contributor.author | Likhachov, D. | - |
| dc.contributor.author | Petrovsky, N. | - |
| dc.contributor.author | Azarov, E. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-02-16T06:54:37Z | - |
| dc.date.available | 2024-02-16T06:54:37Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Likhachov, D. Improving Spatial Resolution of First-order Ambisonics Using Sparse MDCT Representation / D. Likhachov, N. Petrovsky, E. Azarov // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 122–125. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54283 | - |
| dc.description.abstract | The paper presents a method for improving spatial resolution of first-order ambisonic audio. The method is
based on time/frequency decomposition of the audio with subsequent extraction of a directed plane wave from each frequency component. The method develops the basic ideas of high angular resolution planewave expansion (HARPEX) and directional audio coding (DirAC) taking advantage of real valued sparse decomposition. Real-valued frequency components as opposed to complex-valued introduce simpler
and more stable direction of arrival estimates, while sparse decomposition introduces an accurate and unified approach to describing sounds of different nature from transient to tonal sounds. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BSU | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | spatial audio | en_US |
| dc.subject | ambisonics | en_US |
| dc.subject | upmixing | en_US |
| dc.subject | spatial resolution | en_US |
| dc.subject | sparse representation | en_US |
| dc.subject | FFT | en_US |
| dc.subject | MDCT | en_US |
| dc.title | Improving Spatial Resolution of First-order Ambisonics Using Sparse MDCT Representation | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
|
