Event driven adaptive filtering

M. Antunovic, S. Cummer
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Abstract

This paper introduces a new adaptive filter structure for a class of event-based signals corrupted by quasi-periodic noise. The event driven adaptive filter emerges from Widrow's adaptive filter, exploiting specific properties of event-based signals such as unpredictable time appearance and limited time duration. Experimental tests verify improved filter performance of the proposed solution.
事件驱动自适应滤波
针对一类受准周期噪声干扰的事件信号,提出了一种新的自适应滤波结构。事件驱动的自适应滤波器来自Widrow的自适应滤波器,利用基于事件的信号的特定属性,如不可预测的时间外观和有限的时间持续时间。实验测试验证了该方案改进的滤波性能。
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