  In this paper the problem of estimation of a single parameter from a linear
regression equation in the absence of sufficient excitation in the regressor is
addressed. A novel procedure to generate a new exciting regressor is proposed.
The superior performance of a classical gradient estimator using this new
regressor, instead of the original one, is illustrated with comprehensive
simulations.
