(2008) Ibrahim Elimam Abdalla, Abubakr Elsidig Mirghani El Hussien; Aisha Hassan Abdalla
In Blind Source Separation a mixture of sources, sounds or any type of signals are to be separated without any prior information about these sources and the way they have been mixed. Most of the methods and algorithms that have been developed to tackle this problem are computationally expensive. Specially those dealing with Convolutive Blind Source Separation. Here, a new parallel, computationally none expensive Convolutive Blind Source Separation algorithm is presented and evaluated. Then parallelization of an already existing Blind Source separation algorithm is also presented and tested.
