A Study on Adaptive Noise Canceller Using Linear Phase Filter

Abstract

In this paper, we propose a new adaptive noise canceller using a linear phase filter. The linear model in which the arbitrary signal is defined by the output signal of a linear system at the white signal input is used. The noise is suppressed by the estimated linear system and the signal to noise ratio is improved. At this time, to minimize the distortion of the signal due to the nonlinearity of the phase shift, the linear phase filter has been newly introduced. The transfer function of the linear system is an arbitrary minimum phase rational transfer function that has the poles and zeros. It has the feature of not being specified for all pole model. The adaptive algorithm is a gradient based algorithm with few computational complexities. The feature of the proposed adaptive noise canceller are that the inverse filter of the adaptive filter is stable, the convergence of the algorithm is guaranteed, the distortion of the signal is minimum , and there is no restriction to the transfer function of the linear system.