Increasing implementability of β-driven threshold checkers

Implementation of checkers on the basis of threshold functions is problematic due to low stability of component threshold schemes. The paper proposes two methods allowing increasing the implementability: a) by introducing a relatively small overhead for preliminary exclusion of defective circuits; and b) by using a specific procedure of calibration. The first method is proposed upon considering a method of majority reservation while the second is based on a specific learning procedure that is known from studying β-driven threshold elements as a basis for CMOS artificial neurons.