Signal Processing Method by Introducing Fuzzy Theory and Its Application to Electromagnetic and Sound Environments

EUROCON 2007 - The International Conference on "Computer as a Tool" Pub Date : 2007-12-26 DOI:10.1109/EURCON.2007.4400411

A. Ikuta, M. Ohta

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引用次数: 1

Abstract

In general, analyses of phenomena in an electromagnetic and sound environments showing various types of complex fluctuation form can be classified into two categories. One is the analysis method from the bottom-up viewpoint, and the other is the method based on the top-down viewpoint. The former is a method structurally based on the physical mechanism existing in the phenomena. The latter method lays the stress on a functional viewpoint connected with the human response to environmental phenomena, in order to obtain an evaluation of the phenomena even in cases of an unknown or uncertain structural mechanism. In this study, from the latter viewpoint, we propose a signal processing method utilizing fuzzy theory to be applied to actual electromagnetic and sound environmental phenomena. The validity of the proposed method is experimentally confirmed by applying it to observed electromagnetic and sound data in the actual working environments, as two typical examples of phenomena difficult to partition into crisp sets by means of a threshold.

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引入模糊理论的信号处理方法及其在电磁和声环境中的应用

一般来说，对具有各种复杂波动形式的电磁和声环境现象的分析可分为两类。一种是自下而上的分析方法，另一种是基于自上而下的分析方法。前者在结构上是以现象存在的物理机制为基础的方法。后一种方法强调与人类对环境现象的反应有关的功能观点，以便在未知或不确定的结构机制的情况下获得对现象的评价。本研究从后一种观点出发，提出一种利用模糊理论处理实际电磁声环境现象的信号处理方法。通过实验验证了该方法的有效性，并将其应用于实际工作环境中观测到的电磁和声音数据，作为难以用阈值划分为清晰集的两个典型例子。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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EUROCON 2007 - The International Conference on "Computer as a Tool"

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