Decision feedback equalizer with two´s complement computation sharing multiplication

We present an architecture of a high performance decision feedback equalizer based on a computation sharing multiplier. The computation sharing multiplier (CSHMR) uses a redundant number scheme and targets removal of computational redundancy by computation re-use. Use of CSHMR leads to high performance FIR filtering operation by re-using optimal precomputations. A decision feedback equalizer (DFE) implementation based on CSHMR in a 0.35 μ technology shows 34% improvement in the operating speed over DFE using a Wallace tree multiplier