Modeling of reflections and air absorption in acoustical spaces a digital filter design approach

Abstract

A method is presented for modeling sound propagation in rooms using a signal processing approach. Low order digital filters are designed to match to sound propagation transfer functions calculated from boundary material and air absorption data. The technique is applied to low frequency, finite difference time domain (FDTD) simulation of room acoustics and to real-time image-source based virtual acoustics.