A geometrically constrained anechoic model for blind separation of temporomandibular joint sounds

Extraction of temporomandibular Joint (TMJ) sound sources is attempted in this paper. A priori knowledge of the geometrically constrained medium (i.e. the head) to extract the temporomandibular joint sound sources from their anechoic mixtures is exploited. This is achieved by estimating the delay of the contra lateral (fromthe opposite side) source within the anechoic mixtures. Subsequently, we consider the mixing medium as a multichannel filter of constrained length whereby the instantaneous mixing hypothesis can be assumed for each lag. Last but not least, we utilize mutual information as a selection criterion to pick the correct independent components. Successful reconstruction of the TMJ sources (free from artefacts present in the estimates of the TMJ sources by other well-known signal processing techniques) was achieved

A geometrically constrained anechoic model for blind separation of temporomandibular joint sounds

Extraction of temporomandibular Joint (TMJ) sound sources is attempted in this paper. A priori knowledge of the geometrically constrained medium (i.e. the head) to extract the temporomandibular joint sound sources from their anechoic mixtures is exploited. This is achieved by estimating the delay of the contra lateral (fromthe opposite side) source within the anechoic mixtures. Subsequently, we consider the mixing medium as a multichannel filter of constrained length whereby the instantaneous mixing hypothesis can be assumed for each lag. Last but not least, we utilize mutual information as a selection criterion to pick the correct independent components. Successful reconstruction of the TMJ sources (free from artefacts present in the estimates of the TMJ sources by other well-known signal processing techniques) was achieved