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Fuzzy filtering method and associated fuzzy filter

机译:模糊滤波方法及相关的模糊滤波器

摘要

The fuzzy filtering of a noise signal comprising a plurality of signal samples [s(t,k)] is carried out using as variables the variation of the signal in the considered window and the distance of the samples from a sample to be reconstructed, to distinguish the typical variations of the original signal from those due to the noise and to identify the signal fronts. The method comprises the steps of defining a current signal sample [s(t)] from among the plurality of signal samples, calculating a plurality of difference samples [D(t,k)] as the difference in absolute value between the current signal sample and each signal sample and defining distance values (k) between the current signal sample and each signal sample. The method further comprises determining weight parameters [P(k)] on the basis of the difference samples and the distance values by means of fuzzy logic and weighing the signal samples with the weight parameters so as to obtain a reconstructed signal sample [o(t)].
机译:对包括多个信号样本的噪声信号的模糊滤波。使用所考虑的窗口中的信号变化以及样本与要重构的样本之间的距离作为变量来执行“变量”,以区分原始信号的典型变化与噪声造成的典型变化,并识别信号前沿。该方法包括定义当前信号样本的步骤。从多个信号样本中,计算多个差样本[ D(t,k)]表示当前信号样本和每个信号样本之间的绝对值之差,并定义当前信号样本和每个信号样本之间的距离值(k)。该方法还包括确定权重参数Ps(k)rsqb。根据差值样本和距离值,通过模糊逻辑并用权重参数对信号样本进行加权,从而获得重构的信号样本[ o(t)]。

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