文件名称:RLSxiebojiance
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以自适应线性组合器为时变谐波检测器的模型, 根据逆归最小乘自适应滤波算法较好的跟踪性能, 使之应用于时变谐波的跟踪检测。仿真表明该方法比以往的基于最小均方
自适应滤波算法的谐波幅值和相位参数的测定具有更好的跟踪效果。-Adaptive linear combiner with harmonic detector is too variable model, according to inverse normalized least square adaptive filter algorithm has better tracking performance, make application to track time-varying harmonic detection. Simulation shows that this method than LMS-based adaptive filtering algorithm for the harmonic amplitude and phase parameters of the determination with improved tracking.
自适应滤波算法的谐波幅值和相位参数的测定具有更好的跟踪效果。-Adaptive linear combiner with harmonic detector is too variable model, according to inverse normalized least square adaptive filter algorithm has better tracking performance, make application to track time-varying harmonic detection. Simulation shows that this method than LMS-based adaptive filtering algorithm for the harmonic amplitude and phase parameters of the determination with improved tracking.
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基于RLS算法的时变谐波检测.pdf