State Estimation Method for Sound Environment System with Unknown Structure by Introducing a Fuzzy Adaptive Filter

The actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contains an unknown structure. Furthermore, the observations in the sound environment often contain fuzziness due to several causes. In this study, a method for estimating the specific signal for acoustic environment systems with unknown structure and fuzzy observation is proposed by introducing a fuzzy probability theory and a system model of conditional probability type. The effectiveness of the proposed theoretical method is confirmed by applying it to the actual problem of psychological evaluation for the sound environment.