An adaptive signal processing method combining digital filter with fuzzy inference and its application to actual wave-motion environment
✍ Scribed by Akira Ikuta; Mitsuo Ohta; Hitoshi Ogawa
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 349 KB
- Volume
- 83
- Category
- Article
- ISSN
- 1042-0967
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✦ Synopsis
In general, analyses of phenomena in a wave motion environment 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 paper, from the latter viewpoint, we propose a signal processing method utilizing fuzzy inference to be applied adaptively to actual wave-motion environmental phenomena. The validity of the proposed method is experimentally confirmed by applying it to observed data in the electromagnetic environment for a near field and in the living noise environment, as two typical examples of phenomena difficult to partition into crisp sets by means of a threshold.