Sparse Plane-wave Decomposition for Upscaling Ambisonic Signals

Gyanajyoti Routray, R. Hegde
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引用次数: 1

Abstract

Lower order ambisonics suffers from low spatial resolution, where hardware complexity is high for direct recording the higher order ambisonics (HOA). This problem can be solved by upscaling the order-l ambisonics (B-format signals). In this paper, a sparse plane-wave decomposition method using sequential matching pursuit is developed for upscaling the order of ambisonics. The proposed method maintains the same sparsity level across multiple measurements and is computationally efficient. The performance of the proposed method is evaluated based on the error in encoded signal and reconstructed sound field, and compared with the state-of-art upscaling techniques. Perceptual evaluations are also conducted, which indicates a significant improvement in spatial resolution.
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放大双声信号的稀疏平面波分解
低阶双声的空间分辨率低,直接记录高阶双声(HOA)的硬件复杂度高。这个问题可以通过放大i阶双声(b格式信号)来解决。本文提出了一种利用序列匹配追踪的稀疏平面波分解方法来提高双声的阶数。该方法在多个测量值之间保持相同的稀疏度水平,计算效率高。基于编码信号和重构声场的误差对该方法的性能进行了评价,并与现有的放大技术进行了比较。感知评价也进行了,这表明在空间分辨率显著提高。
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