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- W2417179776 abstract "We propose an adaptive combination of a proportionate normalized least-mean-square with individual activation factors (IAF-PNLMS) and a normalized mean-square (NLMS) for the sparse system. The IAF-PNLMS has the fastest initial convergence rate among the algorithms for the sparse system. The NLMS has a low misalignment for various systems. To obtain both fast convergence rate and a low misalignment, we derive the proposed algorithm through adaptive combination algorithm of the IAF-PNLMS and the NLMS. We simulate to show the proposed algorithm has better performance than the conventional algorithms for the sparse system in terms of convergence rate and steady-state performance." @default.
- W2417179776 created "2016-06-24" @default.
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- W2417179776 date "2016-03-01" @default.
- W2417179776 modified "2023-09-23" @default.
- W2417179776 title "Adaptive combination with improved performance for sparse system" @default.
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- W2417179776 doi "https://doi.org/10.1109/icit.2016.7474841" @default.
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