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- W2339728163 abstract "The real observed data in sound and electromagnetic waves often contain fuzziness due to confidence limitations in sensing devices, permissible errors in the experimental data, and quantizing errors in digital observations. In this study, by paying attention to the specific signal in the real sound and electromagnetic environment, which exhibits complex probability distribution forms, a signal processing method is considered for estimating the probability distribution and the fluctuation wave form of the specific signal based on the observation with fuzziness. First, a static signal processing method is considered for predicting the probability distribution of electromagnetic wave leaked from several kinds of electronic information equipment in the real working environment based on the observed fuzzy data of the sound. Next, a dynamic state estimation method is proposed for estimating only the specific signal by removing background noise based on the fuzzy observation data in the sound environment under the existence of background noise. The effectiveness of the theoretically proposed static and dynamic signal processing methods is experimentally confirmed by applying those to real data in the sound and electromagnetic environment." @default.
- W2339728163 created "2016-06-24" @default.
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- W2339728163 date "2015-11-25" @default.
- W2339728163 modified "2023-09-27" @default.
- W2339728163 title "Static and Dynamic Methods for Fuzzy Signal Processing of Sound and Electromagnetic Environment Based on Fuzzy Observations" @default.
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- W2339728163 doi "https://doi.org/10.1007/978-3-319-26393-9_11" @default.
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