Steady State Behavior of Normalized Frequency Domain Adaptive Filter in Noncausal Circumstances
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Steady State Behavior of Normalized Frequency Domain Adaptive Filter in Noncausal Circumstances
IEEE TENCON 2013——Normalized frequency domain LMS algorithm is attractive due to its low computational burden and fast convergence speed. However, it suffers from the deteriorated steady -state behavior in noncausal circumstances, which is always inevitable in many application scenarios. In this talk, the influence of several factors on the steady state behavior of the normalized frequency domain LMS algorithm is investigated in a typical noncausal condition-acompact active noise control system. It is very interesting to find that the noise reduction performance is even worse with the increase of the control filter length.
ゲスト ：
Associate Pro Jing Lu
キーワード ：
自适应滤波器 LMS算法 有源噪声控制系统 降噪性能視頻年代：2013
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