Demystifying the Digital Adaptive Filters Conducts in Acoustic Echo Cancellation

Abstract

A digital sound system resembles the wireless network link transmission system. A wireless network link is affected by several disturbing factors: fading, attenuation, non-linear distortion and noise. These factors are also unavoidable in acoustic echo cancellation. A few number of digital adaptive filter algorithms are approached to detect and cancel the noise in a system. Among these algorithms Least Mean Square, Block Frequency Domain Adaptive Filter and Kalman Filter are widely used to predict and remove the noise or unwanted signals. It is found that performances of these filters varied and depends upon the system of application. Therefore, a detailed performance analysis is exigent. The goal of this paper is to use an approach to analyze and figure out the best performed filter by performance evaluation in the context of acoustic echo cancellation.