Research of Signal Adaptive Filtering Algorithms

The article aims to research the existing signal adaptive filtering algorithms. The task of filtering signals from noise and distortion is an important scientific and technical problem. In this paper, white noise filtering using an adaptive filter is considered. Classical adaptive filtering algorithms have been chosen to solve the problem. The efficiency of the least mean squares and the recursive least squares with forgetting factor algorithms was compared for the white noise filtering tasks. As a result of this work, it turned out to filter a multiharmonic signal from the white noise using the least mean squares and the recursive least squares with forgetting factor algorithms.