Noise canceller using forward and backward linear prediction with a temporally nonlinear linear weighting

Abstract

A noise canceller is constituted by a forward linear prediction processor that performs forward linear prediction for a reception signal in a noisy section where the reception signal includes noise, and a backward linear prediction processor that performs backward linear prediction for the reception signal in the noisy section. A signal generator generates a replacement signal, to replace the reception signal in the noisy section, based on the forward linear prediction values obtained by the forward linear prediction and the backward linear prediction values obtained by the backward linear prediction. The signal generator obtains replacement values for a plurality of points within the noisy section by weighting the corresponding forward prediction value and the corresponding backward prediction value with an internal division ratio, the internal division ratio having a linear or nonlinear functional relationship to the time axis of the signal.