双非平稳：从非平稳混合信号中盲提取独立非平稳矢量/分量--算法
Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures -- Algorithms
摘要：
在这篇文章中，非平稳混合和源模型相结合，开发新的快速和准确的算法独立分量或向量提取（ICE/IVE），其中之一代表了一个新的扩展著名的FastICA。该模型允许移动感兴趣源（SOI），其在短间隔上的分布可以是（非）圆形（非）高斯分布。提出了一种假设三对角协方差矩阵结构的高斯信源模型。它被证明是有益的频域扬声器提取问题。仿真结果验证了算法的有效性。与最先进的算法相比，它们在收敛速度和提取精度方面表现出优越的性能。
英文摘要：
In this article, nonstationary mixing and source models are combined for developing new fast and accurate algorithms for Independent Component or Vector Extraction (ICE/IVE), one of which stands for a new extension of the well-known FastICA. This model allows for a moving source-of-interest (SOI) whose distribution on short intervals can be (non-)circular (non-)Gaussian. A particular Gaussian source model assuming tridiagonal covariance matrix structures is proposed. It is shown to be beneficial in the frequency-domain speaker extraction problem. The algorithms are verified in simulations. In comparison to the state-of-the-art algorithms, they show superior performance in terms of convergence speed and extraction accuracy.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
