A blind equalizer for nonstationary discrete-valued signals

Adaptive algorithms are proposed for blind equalization of communication channels. The algorithms explicitly utilize the finite alphabetical set of the input signals and minimize a criterion that depends solely on the alphabetical set. The method is shown to be able to handle nonstationary signals without requiring or estimating their time-varying statistical parameters. Simulation results are presented to test and demonstrate the method.