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FastISA: A fast fixed-point algorithm for Independent Subspace Analysis

机译:FASTISA:独立子空间分析的快速定点算法

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Independent Subspace Analysis (ISA; Hyvarinen & Hoyer, 2000) is an extension of ICA. In ISA, the components are divided into subspaces and components in different subspaces are assumed independent, whereas components in the same subspace have dependencies. In this paper we describe a fixed-point algorithm for ISA estimation, formulated in analogy to FastICA. In particular we give a proof of the quadratic convergence of the algorithm, and present simulations that confirm the fast convergence, but also show that the method is prone to convergence to local
机译:独立子空间分析(ISA; Hyvarinen&Hoyer,2000)是ICA的延伸。在ISA中,组件分为子空间,并且假设不同子空间中的组件独立,而同一子空间中的组件具有依赖性。在本文中,我们描述了ISA估计的定点算法,其类比为Fastica。特别地,我们给出了算法二次收敛的证据,并现有的模拟确认快速收敛,但也表明该方法容易收敛到本地

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