Gabrielson, BenSun, MingyuAkhonda, Mohammad Abu Baker SiddiqueCalhoun, Vince D.Adali, Tulay2023-05-232023-05-232023-05-05B. Gabrielson, M. Sun, M. A. B. S. Akhonda, V. D. Calhoun and T. Adali, "Independent Vector Analysis with Multivariate Gaussian Model: a Scalable Method by Multilinear Regression," ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10096698.https://doi.org/10.1109/ICASSP49357.2023.10096698http://hdl.handle.net/11603/28059ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 04-10 June 2023Joint blind source separation (JBSS) is a powerful tool for analyzing multiple linked datasets, distinguished by the key ability to exploit cross-dataset dependencies. Despite this ability generally improving overall estimation performance, joint decompositions also incur considerable computational costs, which can lead to intractable problems with hundreds or thousands of datasets. In this paper, we introduce an efficient method for large-scale JBSS by multilinear regression. We consider a model where out of all datasets, only a selected subset are first decomposed to provide regressors that sufficiently estimate sources across all datasets. These regressors define a per-source cost function that naturally extends independent vector analysis (IVA) with a multivariate Gaussian source prior (IVA-G), a powerful formulation for exploiting cross-dataset dependencies. Using simulated and real fMRI data, we demonstrate significant advantages of this method compared with other JBSS methods.5 pagesen-US© 2023 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.UMBC High Performance Computing Facility (HPCF)Joint Blind Source SeparationIndependent Vector AnalysisGroup Independent Component AnalysisText