DocumentCode :
568050
Title :
Research of Multi-mode Noise suppression based on variable step-size NLMS-Newton algorithm
Author :
Dalabaev, Senbai ; Liao, Chang ; Muhammad, Ababekri ; Ahmetov, Bekturgan
Author_Institution :
Sch. of Inf. Sci. & Eng., Xinjiang Univ., Urumqi, China
fYear :
2012
fDate :
23-27 July 2012
Firstpage :
199
Lastpage :
203
Abstract :
In reality, there are Multi-mode Noise (as a whole, they are non-Gaussian noise), it causes serious damage and loss to the signals. Traditional LMS algorithm can not suppress the noise well, not only slowing down the convergence, but also occurring a big steady-state error and the offset amount. This paper combined with the advantages of LMS algorithm and the Newton algorithm, to propose the amendment of autocorrelation matrix and take variable step-size which changes by the SNR. Simulation results show that the proposed algorithm in this paper has greatly improved in convergence rate, steady state error and the offset amount. It also can well suppress multi-mode noise to take useful signal.
Keywords :
Newton method; adaptive signal processing; intersymbol interference; least mean squares methods; matrix algebra; signal denoising; SNR; adaptive signal processing; autocorrelation matrix; intersymbol interference; multimode noise suppression; steady-state error; variable step-size NLMS-Newton algorithm; Adaptation models; Educational institutions; Least squares approximation; Training; LMS algorithm; autocorrelation matrix; multi-mode noise; noise suppression; variable step-size;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2012
Conference_Location :
New Taipei City
Print_ISBN :
978-1-4673-1867-9
Type :
conf
DOI :
10.1109/CSQRWC.2012.6294991
Filename :
6294991
Link To Document :
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