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Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/aca4fc
Abstract: Objective. The wider adoption of Riemannian geometry in electroencephalography (EEG) processing is hindered by two factors: (a) it involves the manipulation of complex mathematical formulations and, (b) it leads to computationally demanding tasks. The main…
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Keywords:
approximate joint;
joint diagonalization;
revisiting riemannian;
geometry ... See more keywords
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Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2868408
Abstract: This letter deals with a hybrid joint diagonalization problem considering both Hermitian and transpose congruence. Such problem can be encountered in certain noncircular signal analysis applications including blind source separation. We introduce new Jacobi-like algorithms…
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Keywords:
joint diagonalization;
hybrid joint;
diagonalization algorithms;
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Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2018.2795539
Abstract: We consider the blind source separation (BSS) problem and the closely related approximate joint diagonalization (AJD) problem of symmetric positive definite (SPD) matrices. These two problems can be reduced to an optimization problem with three…
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Keywords:
approximate joint;
source separation;
riemannian optimization;
blind source ... See more keywords