Fractionally-spaced signal reconstruction based on maximum likelihood

Abstract

This paper proposes a scheme for maximum-likelihood-based signal reconstruction. The scheme extends a previous work by Yellin and Friedlander to the case of fractionally-spaced data. The use of fractionally-spaced data obviates the need for timing-phase recovery. Batch and adaptive algorithms are derived and illustrated by examples. The algorithms are useful for equalization of digital communication channels.