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- W2095714542 abstract "In many practical applications from the field of system identification, an accurate estimation of the noise variance is available. Therefore, we introduce a new variable step-size LMS algorithm that exploits this information in order to provide a faster convergence speed. The new algorithm is called NCVS-LMS. The convergence speed and steady-state error performance of the new algorithm are analyzed. The experimental results show that the new algorithm outperforms the LMS and other variable step algorithms." @default.
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- W2095714542 date "2002-11-07" @default.
- W2095714542 modified "2023-09-25" @default.
- W2095714542 title "A noise constrained VS-LMS algorithm" @default.
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- W2095714542 doi "https://doi.org/10.1109/eurcom.2000.874766" @default.
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