Optimization algorithm for Noise cancellation using Adaptive Estimator

Abstract

Noise signals corrupt the information available in a channel. Most of the noise sources are additive.  The signals are corrupted by the noises and it loses its quality. This paper presents the detail analysis of the adaptive estimator for noise cancellation in multichannel system using different optimization technique. Different noise cancellation techniques are available in the literature like matched filtering, wavelet transform and statistical analysis. This paper presents the evolutionary methodology approach using Artificial Bee Colony and Particle swarm optimization for the optimization of multichannel adaptive filter l. The investigation of the efficiency of the method was evaluated using a real time ECG data. The noise in the ECG signal is removed using the multichannel adaptive filter using evolutionary optimization technique.