A NEW APPROACH FOR ADAPTIVE NOISE CANCELLATION USING FRACTIONAL FOURIER TRANSFORM FrFT

Abstract

Adaptive noise cancellation is an effective approach in noise cancellation problem. This paper presents a new approach for adaptive noise cancellation, which is more efficient than the traditional techniques. Our proposal is based on improving the traditional adaptive filter algorithms by making use of Fractional Fourier Transform. Numerical results highlight the effectiveness of our approach when normalized mean square error in three cases of different input signals are less than the value obtained with conventional algorithms. The results suggest that adaptive noise cancellation using FrFT could be a promising solution.