Fast Convergence Adaptive Filter with Square Sum of Correlation Function as a Cost Function

Abstract

In this paper, a fast convergence adaptive filter with square sum of the correlation function as a cost function is studied. Since the algorithm does not include the inverse correlation matrix of the input signal of the adaptive filter, it is stable and has only a few arithmetic quantities. The convergence performance of the algorithm is also verified.