(Al Neelain University, 2006-11) Ibrahim Elimam Abdalla
In this dissertation the digital filters were used to solve the Convolutive Blind
Source Separation within the parallel computing context, A revision of the strategy of
tackling BSS and CBSS problems via parallel computing was proposed.
In this dissertation a convolutive Blind Source Separation algorithm was
developed within the context of parallel computing. The algorithm finds the demixing
system by simultaneously jointly diagonalizeing a set of time-lagged correlation matrices
by using parallel form of Jacobi plane transformations. The parallel computing approach
was applied on some existing BSS and CBSS algorithms. As an example of the iterative
CBSS algorithms Lambert and Bell work was selected and modified so as to apply
parallel computing approach. Very good results were obtained compared with Lambert
and Bell results. A very important improvement is that the developed equalizing system
converges very fast. As an example of the diagonalization algorithms the JADE
algorithm was modified to apply parallel computing approach. The results of the
simulations showed that applying parallel computing approach on this type of algorithms
is easier if done on shared memory systems.
