Abstract
In the actual sound environment system, a specific signal shows various types of probability distribution, and the observation data are usually contaminated by the background noise of non-Gaussian distribution type. Furthermore, there potentially exist various nonlinear correlations in additon to the liner correlation betwen input and output time series. Consequently, often the system input and output relationship in the actual phenomenon cannot be represented by a simple model using only the linear correlation and lower order statistics. In this study, complex sound environment systems difficult to analyze by using usual structural method is considered. By introducing an estimation method of the regression coefficients for conditional moments with several orders under existence of the external noise, a prediction method of output response probability for sound environment systems is theoretically proposed in a suitable form for the additive property of energy variable and the evaluation in desibel scale. The effectiveness of the proposed method is experimentally confirmed by applying it to the observed data in sound enviroment.
