<紀要論文>
Modified Bias Compensation Recursive Least-Squares Method for Noisy FIR Adaptive Filtering

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概要 In this paper a modified bias compensation recursive least-squares (MBCRLS) method is proposed to deal with the task of adaptive FIR filtering with noisy input-output data. This method is similar to t...he BCRLS method which is proposed by authors recently in terms of use of introducing an auxiliary estimator but a different form with that one in BCRLS method. Several modified points both in theoretical discussion and recursive computing aspects in the new MBCRLS method lead to a reduction in computing cost and simple, readable and understandable derivation. Simulation results are conductive to verify the discussions.続きを見る

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登録日 2015.06.22
更新日 2020.11.02

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