Parametric approximation of room impulse responses based on wavelet decomposition

Abstract

A new approach to the approximation and real-time simulation of room impulse responses is presented. Based on wavelet decomposition of measured impulse response data an energy-time-frequency representation of the system room is obtained. The wavelet coefficients in the frequency subbands are calculated by a multirate analysis filter bank providing aliasing-free subband processing and linear-phase filters. In a second step a modification of the Prony-method is used to obtain the parameters of cascaded moving average comb filter structures. Combining the approximated subband signals by a synthesis filter bank with perfect reconstruction properties gives an approximation of the broadband impulse reponse.<>