Serial updating rule for blind separation derived from the method of scoring

In the context of blind source separation, the method of scoring based on the inverse of the Fisher information matrix (FIM) becomes the serial updating learning rule with an equivariant property. This learning rule can be simplified to a low-complexity algorithm by using the asymptotic form of the FTM around the equilibrium. The simplified learning rule is still general enough to include some existing equivariant blind separation algorithms as its special cases