A linearly-constrained approach for filtered-x wiener filtering

This paper shows that the filtered-x Wiener filtering can be viewed as a linearly-constrained processing technique. For this purpose, the linearly-constrained Wiener filtering is formally introduced, as well as its GSC representation. As a result from this approach, a new set of linear constraints is defined and named as “convolution constraints”. Simulation results validate the proposed methodology.