Unified form of several adaptive algorithms for blind source separation

Yin Fu-liang · Dalian Ligong Daxue xuebao · 2002

Several different adaptive algorithms are unified to one form through reasonable derivation and conversion. The relations between these adaptive algorithms for BSS are pointed out. The stability criterion for choosing nonlinear function in the unified form is given. The combined criterion for choosing the nonlinear function that gives attention to several desired performances such as separation performance, robustness and convergence speed is studied and confirmed by extensive computer experiments. The method of unifying adaptive algorithms for BSS will be helpful to further study and optimize adaptive algorithms of BSS.

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