Inverse-free Online Independent Vector Analysis with Flexible Iterative Source Steering
Inverse-free Online Independent Vector Analysis with Flexible Iterative Source Steering
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DOI：
10.23919/apsipaasc55919.2022.9979837
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发表时间：
2022-09
期刊：
影响因子：
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通讯作者：
Taishi Nakashima;Nobutaka Ono
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文献类型：
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作者：
Taishi Nakashima;Nobutaka Ono
本文提出了一种新的在线独立向量分析（IVA）算法用于实时盲源分离（BSS）。在许多盲源分离算法中，迭代投影（IP）被用来更新分离矩阵，这是盲源分离中需要估计的参数。然而，它需要矩阵求逆，这可能是昂贵的，特别是在在线处理中。为了改善这种情况，我们引入迭代源转向（ISS）在线IVA。ISS不需要任何矩阵求逆，因此其计算复杂度低于IP。此外，当只有部分源是移动的，ISS使我们能够灵活和有效地更新分离矩阵，只有移动源的导向矢量更新。动态条件下的数值实验证实了所提出的方法的有效性。
In this paper, we propose a new online independent vector analysis (IVA) algorithm for real-time blind source separation (BSS). In many BSS algorithms, the iterative projection (IP) has been used for updating the demixing matrix, a parameter to be estimated in BSS. However, it requires matrix inversion, which can be costly, particularly in online processing. To improve this situation, we introduce iterative source steering (ISS) to online IVA. ISS does not require any matrix inversions, and thus its computational complexity is less than that of IP. Furthermore, when only part of the sources are moving, ISS enables us to update the demixing matrix flexibly and effectively so that the steering vectors of only the moving sources are updated. Numerical experiments under a dynamic condition confirm the efficacy of the proposed method.