Title :
A new design of adaptive noise cancellation for speech signals using Grazing Estimation of signal Method
Author :
Manikandan, S. ; Madheswaran, M.
Author_Institution :
Dept. of Electron. & Commun. Eng., Muthayammal Eng. Coll., Raipuram
Abstract :
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.
Keywords :
Gaussian noise; interference suppression; speech processing; wavelet transforms; white noise; adaptive noise cancellation; grazing estimation of signal; noise reduction; speech signal; telecommunication received signal; wavelet transform; white Gaussian noise; Algorithm design and analysis; Computer languages; Design methodology; Gaussian noise; Least squares approximation; Noise cancellation; Noise reduction; Resonance light scattering; Signal design; Speech enhancement; Active noise control; Grazing estimation of signal; Matlab 6.5.; Pseudo code- Wavelet Transform; signal to noise ratio;
Conference_Titel :
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1355-3
Electronic_ISBN :
978-1-4244-1356-0
DOI :
10.1109/ICIAS.2007.4658587
