An artificial neural minimum-variance estimator

Results are presented of a study into one aspect of the application of artificial neural nets to the continuous working mode. For the proposed configuration, the authors give sufficient conditions for the existence and uniqueness of the steady-state solution. They show the feasibility of the choice of the proposed recurrent net for solving a quadratic programming problem using an analog working mode. The authors validate the theory for minimum-variance deconvolution.<>