基于传统LMS (Least Mean Square)的自适应谱线增强(Adaptive Line Enhancement, ALE)算法的主要缺点是:抑制高斯噪声效果差,计算量大,收敛速度慢。
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基于传统LMS (Least Mean Square)的自适应谱线增强(Adaptive Line Enhancement, ALE)算法的主要缺点是:抑制高斯噪声效果差,计算量大,收敛速度慢。
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采用自适应谱线增强器从含有噪声的数据中提取出基频信号。
An adaptive line enhancer based on the above notch filter extracts the fundamental frequency signal from noisy data.
提出了基于加权高阶累积量切片的间接自适应谱线增强快速算法。
A fast algorithm of weighted HOC slice based adaptive dynamic line enhancer is established.
利用极性迭代算法可减小计算量的优点，提出了基于四阶累积量对角切片极性迭代的自适应动态谱线增强快速算法。
Based on the advantage of the sign algorithm, a fast algorithm of FOC diagonal slice sign iterative adaptive dynamic line enhancer is proposed.
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