State Estimation for Sound Environment System with Uncertainty and Its Application to Psychological Evaluation

The actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contains an uncertainty. Furthermore, the observations in the sound environment are often in the level-quantized form. In this paper, two types of methods for estimating the specific signal for sound environment systems with uncertainty and the quantized observation is proposed by introducing newly a system model of the conditional probability type and moment statistics of fuzzy events. The effectiveness of the proposed theoretical method is confirmed by applying it to the actual problem of psychological evaluation for the sound environment.