Spatial audio reproduction with primary ambient extraction
- 作者: He, JianJun, author.
- 其他作者:
- 其他題名:
- SpringerBriefs in electrical and computer engineering.
- 出版: Singapore : Springer Singapore :Imprint: Springer
- 叢書名: SpringerBriefs in electrical and computer engineering, Signal processing,
- 主題: Beamforming. , Engineering. , Signal, Image and Speech Processing. , Algorithm Analysis and Problem Complexity. , Acoustics.
- ISBN: 9789811015519 (electronic bk.) 、 9789811015502 (paper)
- FIND@SFXID: CGU
- 資料類型: 電子書
- 內容註: Introduction -- Literature Review on Spatial Audio -- Linear Estimation based Primary Ambient Extraction -- Ambient Spectrum Estimation based Primary Ambient Extraction -- Time-Shifting based Primary Ambient Extraction -- Multiple Source based Primary Ambient Extraction -- Conclusion.
- 摘要註: This book first introduces the background of spatial audio reproduction, with different types of audio content and for different types of playback systems. A literature study on the classical and emerging Primary Ambient Extraction (PAE) techniques is presented. The emerging techniques aim to improve the extraction performance and also enhance the robustness of PAE approaches in dealing with more complex signals encountered in practice. The in-depth theoretical study helps readers to understand the rationales behind these approaches. Extensive objective and subjective experiments validate the feasibility of applying PAE in spatial audio reproduction systems. These experimental results, together with some representative audio examples and MATLAB codes of the key algorithms, illustrate clearly the differences among various approaches and also help readers gain insights on selecting different approaches for different applications.
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讀者標籤:
- 系統號: 005380446 | 機讀編目格式
館藏資訊
This book first introduces the background of spatial audio reproduction, with different types of audio content and for different types of playback systems. A literature study on the classical and emerging Primary Ambient Extraction (PAE) techniques is presented. The emerging techniques aim to improve the extraction performance and also enhance the robustness of PAE approaches in dealing with more complex signals encountered in practice. The in-depth theoretical study helps readers to understand the rationales behind these approaches. Extensive objective and subjective experiments validate the feasibility of applying PAE in spatial audio reproduction systems. These experimental results, together with some representative audio examples and MATLAB codes of the key algorithms, illustrate clearly the differences among various approaches and also help readers gain insights on selecting different approaches for different applications.