Implementation of Adaptive Noise Canceller System for Audio-Related Applications

Abstract

This paper describes the performance of Adaptive Noise Cancellation system. Basic concept of adaptive noise canceller is to process signals from two input sources and to reduce the level of undesired noise with adaptive filtering techniques. Adaptive filtering techniques play vital role in wide range of applications. An implementation of adaptive noise cancellation system is used to remove undesired noise from a received signal for various audio related applications that has been developed and implemented by MATLAB. The dual channel adaptive noise cancellation system uses an adaptive filter with least mean square algorithm to cancel noise component from primary signal picked up by primary sensor. Various parameters such as convergence behavior, tracking ability of the algorithm, signal to noise ratio, mean square error etc. of ANC system are studied, analyzed for various applications of adaptive noise cancellation and the same are discussed in this paper.

Performance Analysis of Adaptive Noise Canceller in Digital Filter for Human Voice Separation

“…Thus in the system the reference input is processed by an adaptive filter that automatically adjusts its own impulse response through a least squares algorithm such as LMS that responds to an error signal dependent among other things, on the filters output [8][9][10]. Thus with the proper algorithm the filter can operate under varying conditions and can readjust itself continuously to minimize the error signal [11][12][13][14][15][16]. In year 1960, work related to ANC was carried out by Howells and Applebaum and their colleagues at the GE Company.…”