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• W2107812192 abstract "In the presence of both input and output noise, the classical least squares solution for finite-impulse response (FIR) estimation is biased. It has been shown that bias can be removed by properly scaling the optimal FIR filter coefficients in the least-squares (LS) criterion. A modified recursive least squares (MRLS) algorithm is proposed for accurate identification of a system with both input and output noise. Simulation results show that this method outperforms the modified LMS algorithm under non-stationary interference conditions." @default.
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• W2107812192 date "2000-01-01" @default.
• W2107812192 modified "2023-09-22" @default.
• W2107812192 title "Modified RLS algorithm for unbiased estimation of FIR system with input and output noise" @default.
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• W2107812192 doi "https://doi.org/10.1049/el:20000251" @default.
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