作者: Florian Yger , Maxime Berar , Gilles Gasso , Alain Rakotomamonjy
DOI: 10.1109/ICASSP.2012.6288406
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摘要: This paper addresses the problem of principal subspace tracking in presence a colored noise. We propose to extend YAST algorithm handle such case. also Riemannian framework that could benefit other classical trackers. Finally, as proof concept, our method is compared only oblique tracker literature on toy dataset.