A new design of adaptive noise cancellation for speech signals using Grazing Estimation of signal Method

This paper introduces a new design of noise reduction in telecommunication received signal using grazing estimation of signal method [GES]. The received signal is corrupted due to mixing of white Gaussian noise. This new method is designed based on superposition principle and multiple cases of signal changing from positive to negative direction .This output is fed to the wavelet technology and compare the existing LMS, RLS algorithm using Matlab6.5 simulation results. The simulation results show the effectiveness of the proposed algorithm.