Blind identifiability of class of nonlinear instantaneous ICA models

The identifiability/separability of nonlinear instantaneous ICA models is considered. The identifiability proof is constructed for the class of nonlinearities satisfying addition theorem. Addition theorem covers wide variety of nonlinear mixing systems of engineering interest. An algorithm for separating such nonlinear mixtures is presented and the feasibility of the approach is demonstrated.