ADAPTIVE NOISE CANCELLATION TECHNIQUE USING LMS,RLS AND WAVELET TRANSFORM

This paper describes the concept of adaptive noise cancelling (ADC), in alternative scheme of estimating signals corrupted by additive noise or interference. The main objective of the noise cancellation is to estimate the noise signal and to subtract from original input signal plus noise signal and to obtain the noise free signal. An alternative scheme called adaptive noise cancellation for estimating a speech signal corrupted by an additive noise or interference. This technique uses a primary input signal that contains the speech signal and a reference input containing noise. Its reference input is adaptively filtered and subtracted from the primary input signal to obtain the estimated signal. In this technique the desired signal corrupted by an additive noise can be recovered by an adaptive noise canceller using least mean square(LMS) algorithm and recursive least square(RLS) algorithm. This adaptive noise canceller is useful to improve the signal to noise ratio.