Inverse laplace transform and image-based room impulse response for information on source location

The source localization in indoor and outdoor using sensors based empirical model has been traditionally useful. The presented work is investigating the possibility of extending an exact “image-based” analytical room impulse response (RIR) to classify the source region. The approach is governed by its validity for a spherical acoustic simple source. One technique for a given spatial grid the time responses being mapped to an intensity profile for grayscale images will be processed by a tailored neural network, and other, the conventional processing of raw impulse responses to obtain a likelihood function. The study for both the outcomes will be of particular interest to determine location-driven features.