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- W2103859013 abstract "In this paper, an adaptive beamforming algorithm based on least mean mixed norm (LMMN) algorithm and self-orthogonalizing transform is presented. In the proposed algorithm, LMMN is used to improve the convergence rate of conventional LMS algorithm. Whereas, discreet sine transform is used as self-orthogonalizing transform to address the eigen-spread problem. The simulation results are the evidence of significantly improvement in the convergence rate and mean squared error (MSE) performance of the proposed algorithm." @default.
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- W2103859013 date "2008-03-01" @default.
- W2103859013 modified "2023-09-24" @default.
- W2103859013 title "A transform domain based Least Mean Mixed-Norm algorithm to improve adaptive beamforming" @default.
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- W2103859013 doi "https://doi.org/10.1109/icee.2008.4553896" @default.
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