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- W2912998650 abstract "We present an algorithm that extracts analytic eigenvalues from a parahermitian matrix. Operating in the discrete Fourier transform domain, an inner iteration re-establishes the lost association between bins via a maximum likelihood sequence detection driven by a smoothness criterion. An outer iteration continues until a desired accuracy for the approximation of the extracted eigenvalues has been achieved. The approach is compared to existing algorithms." @default.
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- W2912998650 date "2019-05-01" @default.
- W2912998650 modified "2023-09-27" @default.
- W2912998650 title "Iterative Approximation of Analytic Eigenvalues of a Parahermitian Matrix EVD" @default.
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- W2912998650 doi "https://doi.org/10.1109/icassp.2019.8682407" @default.
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