Unconstrained Hartley domain least mean square adaptive filter

摘要

An efficient adaptive filtering algorithm named as the unconstrained Hartley domain least mean square (UHLMS) algorithm has been proposed. It is found from computer simulation that the proposed algorithm has similar performance to the time domain least mean square (LMS) algorithm for uncorrelated signals; but yields faster and better convergence for highly correlated signals. The UHLMS algorithm has identical performance to that of the unconstrained frequency domain least mean square (UFLMS) algorithm, but requires significantly less computation.