Location
The Leonardo Event Center
Start Date
5-12-2015 12:00 PM
Description
Convolutive independent component analysis (ICA) algorithms, which have proven capable at separating convolutively mixed signals, can also provide information about the geometry of the setting. This geometry includes source location information and wall locations (room shape). From the multi-input/multi-output impulse responses learned from convolutive ICA, peaks indicating direct path or reflection delays are extracted. The location of sensors (or sources) is obtained using hyperbolic geometry based on direct path time delays. Delays from re-flected paths learned from the impulses responses correspond geometrically to ellipses, which are tangent at the reflecting point. Ellipse tangent directions are clustered to determine wall locations. Following a summary of the method, experi-ments are presented on actual room measurements.
Source Localization and Room Mapping Using Information Derived from Independent Component Analysis
The Leonardo Event Center
Convolutive independent component analysis (ICA) algorithms, which have proven capable at separating convolutively mixed signals, can also provide information about the geometry of the setting. This geometry includes source location information and wall locations (room shape). From the multi-input/multi-output impulse responses learned from convolutive ICA, peaks indicating direct path or reflection delays are extracted. The location of sensors (or sources) is obtained using hyperbolic geometry based on direct path time delays. Delays from re-flected paths learned from the impulses responses correspond geometrically to ellipses, which are tangent at the reflecting point. Ellipse tangent directions are clustered to determine wall locations. Following a summary of the method, experi-ments are presented on actual room measurements.