Sparsity and Independence: Balancing Two Objectives in Optimization for Source Separation with Application to fMRI Analysis
Abstract
Because of its wide applicability in various disciplines, blind source separation (BSS), has been an active area of research. For a given dataset, BSS provides useful decompositions under minimum assumptions typically by making use of statistical properties—types of diversity—of the data. Two popular types of diversity that have proven useful for many applications are statistical independence and sparsity. Although many methods have been...
Paper Details
Title
Sparsity and Independence: Balancing Two Objectives in Optimization for Source Separation with Application to fMRI Analysis
Published Date
Mar 1, 2018
Volume
355
Issue
4
Pages
1873 - 1887
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