International Journal of Soft Computing

Year: 2008
Volume: 3
Issue: 1
Page No. 63 - 68

Design of Adaptive Noise Cancellation for Speech Signals Using GES Method

Authors : S. Manikandan and M. Madheswaran

Abstract: This study introduced a new method for reducing the content of noise present in the received signal for wireless communication medium using Grazing Estimation of Signal method (GES). The received signal is corrupted due to mixing of white Gaussian noise. This proposed method is designed based on super position principle and 8 cases of signal varied positions. This new method output is fed to the wavelet technology compare the existing LMS, RLS algorithm using Matlab 6.5 simulation results. Final computer simulation shows the more effective and robustness with comparison of .existing method.

How to cite this article:

S. Manikandan and M. Madheswaran , 2008. Design of Adaptive Noise Cancellation for Speech Signals Using GES Method . International Journal of Soft Computing, 3: 63-68.

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