- 學位論文
正規化區塊式最小均方根演算法之步階增益範圍的探討
An investigation on the step-size bound of the normalized block LMS algorithm
摘要
在本論文中，我們針對「正規化分割區塊式適應濾波器」(NBLMS)在收斂狀況下之步階增益範圍的分析與討論，並且發現其步階增益範圍並非一般認知的0與2之間，而是落在0與2L之間，其中L為NBLMS演算法的區塊長度。這個發現可以增加NBLMS演算法的實用性，我們會用大量的實驗來證明我們的分析。
關鍵字
正規化區塊式最小均方根演算法並列摘要
In this thesis, we present an analysis on the step-size bound that guarantees the stability of the normalized block LMS algorithm(NBLMS),and discover that the step-size bound for the NBLMS is not bounded in (0,2) as we know, but is bounded in (0,2L) for convergence, which L is block length. This finding makes NBLMS much more practical. Extensive simulation results are provided to support our analysis.
並列關鍵字
NBLMS參考文獻
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