Computationally efficient version of the decision feedback equalizer

We propose a computationally efficient version of the decision feedback equalizer (DFE) and compare its performance with the conventional DFE. The proposed equalizer requires fewer taps than the conventional one. This reduces the computational load proportionally and leads to faster adaptation. Identical performance of the two structures in terms of probability of error is also demonstrated using both theoretical and simulation results