Abstract
For the evaluation of actual sound insulation systems, a new method is proposed by introducing a stochastic mixed model on an intensity scale. The change of the system characteristic due to internal factors within a long period is functionally described by introducing a multiplicative system model composed of input and the random parameter. This model is identified based on entropy and Kullback's information criteria available for the non-Gaussian fluctuation. By using the identified model, the statistical moments of the random parameter are estimated recursively. Thus, after expressing the probability distribution of the output on an intensity scale to an arbitrary random input in the frame of the statistical type Laguerre series expansion form, its statistical moments can be predicted and its expansion coefficients can be predicted. Finally, the proposed method is experimentally confirmed by applying it to actual sound insulation systems.
