A Note on Fixed- and Discrete-Time Estimation via the DREM Method

A simple fixed-time converging estimation algorithm is presented for a linear regression using the dynamic regressor extension and mixing method within a discrete-time setting, with a persistently excited regressor and bounded measurement noises. The solution is based on Kreisselmeier's filters, and it is computationally simpler than the existing analogs.