The Simulation and Application in Eliminating Noise of Adaptive Filter

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Abstract:

In practical application, signal and noise statistical characteristics are often unknown or not informed, fixed filter is difficult to process these signals and the filtering effect is poor. To address the issue, this paper design the adaptive filter which is based on the algorithm LMS and RLS. By simulation in the MATLAB environment, we can compare the analytical results of the two algorithms and observe the effect of noise elimination, the adaptive filter can be a good noise suppression.

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449-452

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Simon Haykin, The Principle of Adaptive filter, The electronics industrial publisher, vol. 2, Beijing, 2003, pp.159-398.

Google Scholar

[2] He Zhenya, Adaptive Signal Processing, Science publisher , vol. 1, Beijing, 2002, pp.102-164.

Google Scholar

[3] Zhao Hongyi, "Digital Signal Processing and Its MATLAB Realization , The chemistry industrial publisher, vol. 2, Beijing, 2002,pp.210-248.

Google Scholar

[4] Qi Haibing, A design method of adaptive filters based on LMS, vol. 23, Information Technology, August 2006, pp.23-27.

Google Scholar

[5] IanNimmo. Adequately address abnormalSituationoperations,. Chem Eng. Prog . (1995).

Google Scholar

[6] K. Dogancay P.A.A. Naylor. Recent advances in partial update and sparse adaptive filters. Proc 14th European Signal Processing Conference (EUSIPCO'05) . (2005).

Google Scholar