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Method for detecting signals by means of fuzzy-logic classification

机译:基于模糊逻辑分类的信号检测方法

摘要

For the purpose of detecting signals by means of fuzzy-logic classification, these signals are sampled in time and the sampled values are compared with fuzzy threshold values with the aid of fuzzy-logic rules. Strengths which evaluate the similarity of the signal to be detected with the relevant master signal given the application of the relevant rule are determined for each master signal of a signal catalog. Furthermore, a membership is calculated for each master signal as the arithmetic mean of all the strengths, averaged over all the rules, and the signal to be detected is assigned to that master signal whose membership is a maximum.
机译:为了通过模糊逻辑分类来检测信号,需要对这些信号进行及时采样,然后借助模糊逻辑规则将采样值与模糊阈值进行比较。对于信号目录中的每个主信号,在给定相关规则的应用下,确定评估待检测信号与相关主信号的相似性的强度。此外,针对每个主信号计算隶属度作为所有强度的算术平均值,在所有规则上求平均值,并且将要检测的信号分配给该隶属度最大的主信号。

著录项

  • 公开/公告号US5924052A

    专利类型

  • 公开/公告日1999-07-13

    原文格式PDF

  • 申请/专利权人 SIEMENS AKTIENGESELLSCHAFT;

    申请/专利号US19970776793

  • 发明设计人 RAINER PALM;

    申请日1997-02-12

  • 分类号G06F17/00;

  • 国家 US

  • 入库时间 2022-08-22 02:07:49

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