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Adaptive WFM Filter with Noise Detection Capability

机译:具有噪声检测能力的自适应WFM滤波器

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A new fuzzy filter for the removal of additive impulse noise, called Adaptive Weighted Fuzzy Mean (AWFM) filter, is proposed and analyzed in this paper. The AWFM is an extensive version of Weighted Fuzzy Mean (WFM) filter [1] and its filtered output signal is either the output of WFM or the processed signal decided by the detection algorithm. This filter gives better performance compared with conventional filters when evaluated by Mean Absolute Error (MAE). Mean Square Error (MSE) and subjective evaluation criteria. For dedicated hardware implementation, AWFM is also much simpler than the conventional median filter.
机译:提出并分析了一种新的用于消除加性脉冲噪声的模糊滤波器,称为自适应加权模糊均值(AWFM)滤波器。 AWFM是加权模糊均值(WFM)滤波器[1]的扩展版本,其滤波后的输出信号既可以是WFM的输出,也可以是检测算法确定的已处理信号。当通过平均绝对误差(MAE)进行评估时,该滤波器与常规滤波器相比具有更好的性能。均方误差(MSE)和主观评估标准。对于专用的硬件实现,AWFM也比常规的中值滤波器简单得多。

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