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Multiresolution Subband Blind Source Separation: Models and Methods

机译:多分辨率子带盲源分离:模型和方法

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—The goal of this paper is to review the multiresolution subband Blind Source Separation (MRSBSS) methods, classify them into different categories, and identify new trends. After the perspective of MRSBSS is briefly presented, the general and detailed definition of the MSBSS model is given, the relationships among BSS, Independent Component Analysis (ICA) and MRSBSS method are discussed simultaneously. Then, the state-of-theart MRSBSS algorithms: adaptive filter based method and sparsity based multiscale ICA method are constructed and overviewed in detail from different theory base. The paper concludes by discussing the impact of multiresolution subband on BSS research and outlining potential future research directions and applications.
机译:- 本文的目标是审查多分辨率子带盲源分离(MRSBSS)方法,将它们分类为不同的类别,并确定新趋势。在简要介绍MRSBS的角度之后,给出了MSBSS模型的一般和详细定义,同时讨论了BSS,独立分析(ICA)和MRSBSS方法之间的关系。然后,将左右的MRSBSS算法:基于自适应滤波器的方法和基于稀疏性的多尺度ICA方法,并从不同的理论基础上详细观察。本文通过讨论了多分辨率子带对BSS研究的影响以及概述潜在未来的研究方向和应用的影响。

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