Titlebook: Spatial Audio Reproduction with Primary Ambient Extraction; JianJun He Book 2017 The Author(s) 2017 3D Audio.Immersive Audio.Sound Scene D

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書目名稱Spatial Audio Reproduction with Primary Ambient Extraction影響因子(影響力)




書目名稱Spatial Audio Reproduction with Primary Ambient Extraction影響因子(影響力)學科排名




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書目名稱Spatial Audio Reproduction with Primary Ambient Extraction網絡公開度學科排名




書目名稱Spatial Audio Reproduction with Primary Ambient Extraction被引頻次




書目名稱Spatial Audio Reproduction with Primary Ambient Extraction被引頻次學科排名




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書目名稱Spatial Audio Reproduction with Primary Ambient Extraction讀者反饋




書目名稱Spatial Audio Reproduction with Primary Ambient Extraction讀者反饋學科排名

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Linear Estimation-Based Primary Ambient Extraction,, these mixed signals are usually decomposed into primary and ambient components to facilitate flexible spatial rendering and enhancement. Existing approaches such as principal component analysis (PCA) and least squares (LS) are widely used to perform this decomposition from stereo signals. However,

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Multiple Source-Based Primary Ambient Extraction,ented in PAE to deal with such signals. The effect of subband decomposition on PAE is investigated. The results indicate that the partitioning of the frequency bins is very critical in PAE, and the proposed top-down (TD) adaptive partitioning method achieves superior performance, as compared to the

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Conclusions and Future Works,f applying PAE in spatial audio reproduction. With these advanced PAE approaches readily applied, the listeners can thus immerse himself/herself in the reproduced sound scenes, without the limitation on the audio contents or playback systems. Future work on PAE is also discussed in this chapter.

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2191-8112 sentative audio examples and MATLAB codes of the key algorit.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) t

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