Implementation of Adaptive Noise Canceller System for Audio-Related Applications

Implementation of Adaptive Noise Canceller System for Audio-Related Applications

Swati S. Godbole (G. H. Raisoni College of Engineering, Nagpur, Maharashtra, India) and Sanjay B. Pokle (Department of Electronics & Communication Engineering, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, Maharashtra, India)
DOI: 10.4018/ijmtie.2013100105

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.
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Adaptive Noise Cancellation

Basic Working Principle

The main objective of this research is to remove any sort of unwanted noise from the main information signal. By using LMS algorithm, we can solve the noise cancellation problem even in situations where the channel transfer functions are unknown. In this setup, two microphones are used for ANC. One microphone captures the noise (the reference signal) while the second microphone captures the human voice along with the noise from any noisy source (the primary signal). Both this signals are sampled and synchronized with respect to time. Figure 1 shows the recording setup.

Figure 1.

Experimental set-up of ANC system

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