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- W1971296617 abstract "Under the assumptions of non-Gaussian, non-stationary, or non-white independent sources, linear blind source separation can be formulated as a generalized eigenvalue decomposition problem. Here we provide an elegant method of doing this online, instead of waiting for a sufficiently large batch of data. This is done through a recursive generalized eigendecomposition algorithm that tracks the optimal solution, which is obtained using all the data observed. The algorithms proposed in this paper follow the well-known recursive least squares (RLS) algorithm in nature." @default.
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- W1971296617 date "2007-04-01" @default.
- W1971296617 modified "2023-09-26" @default.
- W1971296617 title "Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices" @default.
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- W1971296617 doi "https://doi.org/10.1109/icassp.2007.366318" @default.
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